A machine learning model is only going to be as good as the data it’s been fed. To be more precise, a model is only as good as the features it’s been given. A feature is a useful metric or attribute taken from either a raw data point or an aggregation of several raw data points. The specific […]
Not many people miss having to manually sort files, label papers, or search for lost forms in huge filing cabinets. That’s because all these tasks have become way easier, faster, and more enjoyable since they’ve become digitized – computers and the internet have revolutionized the way businesses approach organization and task management. Similar to how computers and the internet made monotonous tasks faster and easier in every department, AI will transform work in every industry...
Data scientists know that when they build training sets, they need to watch out for data leakage in order to ensure that a model is only trained on the correct data. Data leakage occurs when models are trained on examples that did not really occur in the real world. In time-series models, data leakage typically is caused by adding features to your training set that occurred after a given prediction would have occurred. While all...
When your team makes a business decision, they have to be able to justify it. Financial organizations have to document the research that led to a particular piece of investment advice, insurance organizations need to be able to explain why a particular policy was denied, and retailers need to explain any personalized promotional behavior. Business Before Advanced Analytics When people are the key decision makers in an organization, justifying decisions isn’t necessarily an easy task,...
Big Data and machine learning are beginning to be implemented in businesses around the world. Yet with this new technology comes new organizational problems – most hiring managers don’t really know the difference between a data scientist and a data engineer, and the CIO has too many choices as to what software to license for their new employees to use. In some contexts, this means that a single data scientist is hired to do all...
Machine learning has now entered its business heyday. Almost half of CIOs were predicted to have implemented AI by 2020, a number that is expected to grow significantly in the next five years. Despite this, seven out of ten executives whose companies had made investments in artificial intelligence reported minimal or no impact from them, according to a 2019 research report from MIT. Why? Because creating a machine learning model and putting it into operation in...
As you may know, we're always happy to preach about the value of a good podcast. Our ML Minutes podcast is a great way to stay up to date with the latest in machine learning, but it's all about spreading the wealth, right? Our CEO, Monte Zweben, recently appeared on a pair of industry podcasts to share his knowledge and expertise. AI in Business Monte stopped by AI in Business to discuss Splice Machine's scalable SQL...
Your boss comes up to you in the middle of the day and says, “Your fraud detection algorithm has consistently been flagging transactions from one particular zip code as fraud. What’s going on?” That should be an easy enough question to answer, right? You can use model interpretability tools, such as the popular open-source packages Lime or SHAP, to peer into your model and better understand how your model works. But that’s only part of...
Enterprises have struggled to turn their investments in AI into tangible results. According to Gartner, 85 percent of AI projects fail due to the challenges of pivoting from implementing AI to operationalizing it to its fullest real world capabilities. As cutting edge as the field is, data scientists spend 80% of their time on the tedious task of data preparation, which has been rated as, by far, the least enjoyable part of the job. Feature...
A Feature Store is a collection of organized and curated features used for training and serving Machine Learning models. Keeping them up to date, serving feature vectors, and creating training data sets requires a combination of transactional (OLTP) and analytical (OLAP) database processing. This kind of mixed workload database is called HTAP for hybrid transactional analytical processing. The most useful Feature Stores incorporate data pipelines that continuously keep their features up to date through either batch...
A machine learning model is only going to be as good as the data it’s been fed. To be more precise, a model is only as good as the features it’s been given. A feature is a useful metric or attribute taken from either a raw data point or an aggregation of several raw data points. The specific features used in a model will depend on the prediction the model is trying to make. If a model tries...
Machine learning is poised to become as revolutionary a tool as the internet. It will change the way we work, the way we travel, and even the way we interact with our daily life. Right now, machine learning technologies are being researched in universities and used in businesses and governments all over the world; however, it’s not enough for specialists to interact with these new technologies — we all need to understand how these innovations...
Why feature engineering and feature management is as important to your ML project as the algorithm you choose Ben Epstein Machine Learning Engineer, Splice Machine There are endless articles and tutorials on topics in Data Science and ML, from Scikit-learn to Keras to PyTorch. In just a few hours, you can create a GAN to generate images of what you’d look like as a cartoon character, or build an LSTM to create text messages as...
Putting multiple machine learning models into production can be a challenge. So, what is the secret to operational machine learning? Feature stores, of course. We know that you have questions about machine learning and feature stores, and at Splice Machine, we have answers. Join us each month for a hands-on workshop, where you’ll learn all about the only feature store powered by a single database. The hands-on demonstration will teach you how to use Splice...
The 2021 calendar year is starting fast at Splice Machine with three different opportunities for us to connect with those interested in learning more about our unique approach to machine learning, feature stores, and Operational AI. Livewire Operational AI Platform Webinar - January 13th - 9am PT/12pm ET/5pm GMT Join us on January 13 at 9:00am PT/12:00pm ET/5:00 PM GMT for a webinar about Splice Machine's Livewire Operational AI platform for oil and gas, utilities,...
Have you ever waited overnight for that report from yesterday’s sales? Or maybe you longed for the updated demand forecast that predicts inventory requirements from real-time point-of-sale and order management data. We are always waiting for our analytics. And worse yet, it usually takes weeks to request changes to our reports. To add insult to injury, you keep getting taxed for the increasing costs of the specialized analytics database. But what if this were no...
Digital transformation was the hot topic before the new era of remote work and social distancing hit us. Business leaders know they had to digitize processes that were previously hampered by real-world constraints. Disney and Carnival Cruises, for example, offer digitized wristbands that enhance their customer experiences, while Domino’s Pizza offers its customers the convenience of ordering exactly what they want on their mobile app, and getting it delivered to their location within 30 minutes....
By Monte Zweben, Gene Davis and Carol Pearson This is a story about modernizing a legacy application powered by DB2. It depicts a journey of migrating the application to the cloud and extending it with AI — WITHOUT changing any application or SQL code within that legacy application. Background We recently partnered with Accenture to meet one of the most iconic financial services companies in the world who realized that in order to rapidly enter...
With the quality of machine learning packages being developed today, testing and creating models couldn’t be easier. Data scientists can simply import their favorite library and have immediate access to dozens of cutting edge algorithms. But creating machine learning models that are production-ready requires more than just effective algorithms. It takes experimentation, data exploration and solid organization. Data scientists need an environment to freely explore the data and plot different trends and correlations without being...
By Michael Crutcher and Monte Zweben For decades, Mainframes have anchored industries such as banking, insurance, healthcare, retail, as well as the public sector. All of these industries require heavy-duty low latency transaction processing. Mainframes are designed to provide mission-critical applications with high availability, where downtime would be extremely costly or simply unacceptable. But mainframe applications are being left behind as businesses strive to transform using distributed computing and public clouds. In large part, this...
Splice Machine is part of a relatively new segment of the database management systems (DBMS) market where transactions and analytics functionality converges. In July 2013, Gartner used the term HTAP or Hybrid Transaction Analytical Processing to describe this emerging market segment. Forrester calls it Transalytics. Today, Splice Machine is announcing the release of the latest version of its platform, Splice Machine 3.0. This release is a testament to how far we have come since the...
As CIOs are finalizing their strategic initiatives for 2020 that invariably involve moving to the cloud, modernizing custom applications and investing in data science initiatives, here is a list of missteps to avoid during that journey. 1. Don’t move to the Cloud without a clear plan. Cloud migrations can be disappointing As a CIO, you might feel that you are missing the boat if you don’t have plans to move to the Cloud. After all,...
I recently attended a conference on the use of data in the Insurance industry at the St. John’s School of Risk in New York City and here are 5 key things I took away: 1. All insurance companies aspire to use more data but few are able to operationalize the use of data The insurance industry has a renewed realization of the value of data due to AI and machine learning. Predictive models have myriad...
Over the past 40+ years, traditional relational databases like DB2, Oracle, SQL Server, Postgres, MySQL and many others have proved to be the bedrock on which hundreds of billions of dollars of applications have been built. Applications that interact with back-end databases through SQL are ubiquitous across all industries. If all of the applications that rely on SQL disappeared overnight our world would be thrown into absolute chaos. Amongst an incalculable number of effects: you...
After many years of Big Data, NoSQL, and Schema-on-Read detours, there is a clear return to SQL as the lingua franca for data operations. Developers need the comprehensive expressiveness that SQL provides. A world without SQL ignores more than 40 years of database research and results in hard-coded spaghetti code in applications to handle functionality that SQL handles extremely efficiently such as joins, groupings, aggregations, and (most importantly) rollback when updates go wrong. Luckily, there...
We all make tens of thousands of snap decisions every day, such as where to go to dinner tonight, which route to take on our way home from the office, etc. Some of these decisions may be small or routine, while others have the potential to alter the course of our lives. We use the information available to us to predict possible outcomes and make a spur of the moment decision. Let’s call these decisions,...
In a previous blog, we discussed how two OLAP systems with ACID properties, HIVE LLAP and Snowflake, demonstrated poor throughput when tested on a standard transaction benchmark, TPC-C (or its closely related cousin, HTAP, which combines both the operational nature of TPC-C simultaneously with the analytical nature of the TPC-H benchmark in one). We next wanted to examine Databricks Delta Lake, “an open-source storage layer that brings ACID transactions to Apache Spark™ and big data...
Monte Zweben, Co-Founder and CEO, Splice Machine 2019 has been a rocky year for the big three Hadoop distributors. From the internal optimism and external skepticism regarding the Cloudera/Hortonworks merger completing in January to MapR’s letter of impending doom in May and subsequent purchase by HPE, to Cloudera’s very bad Wednesday in June which saw a stock price collapse and the departure of Tom Reilly, the news has not been good. Perhaps the most telling...
by Monte Zweben & Syed Mahmood of Splice Machine It’s Time to Reframe Modernization I frequently have conversations with business executives who manage custom-built applications in their organizations. When the topic converges on modernizing these custom and often legacy apps, they often proudly claim modernization is underway and explain to me that they are moving to the cloud, perhaps containerizing the app, and if ambitious, re-architecting the app to take advantage of microservices. While these...
by Monte Zweben & Syed Mahmood of Splice Machine Apache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using commodity hardware. This promise not only addressed the size of the data sets but also the type of data, such as data generated by IoT devices, sensors, servers, and social media that businesses were increasingly interested in analyzing. The combination...
A Comparison of Splice Machine, Hive LLAP and Snowflake’s performance based on transactional throughput Recently there has been a lot of interest in the transactional processing functionality of data platforms. A case in point is the Delta Lake that was announced by Databricks at the Spark + Ai Summit. Delta Lake is an open source storage layer that runs on top of a data lake and is compatible with Apache Spark APIs. Delta Lake claims...
We all make tens of thousands of snap decisions every day, such as where to go to dinner tonight, which route to take on our way to home or office, etc. Some of these decisions may be small or routine, while others may have the potential to alter the course of our lives. We use the information available to us at that given time to make a spur of the moment decision. Let's call these...
Guest Blog by Sergio Ferragut, Senior Sales Engineer, Splice Machine I recently joined Splice Machine as a Senior Sales Engineer and, as part of my getting started with Splice Machine data platform, I needed to perform basic tasks such as creating the cluster and loading data into it. This blog outlines the perspective of a user who is using the Splice Machine platform for the first time; we'll also walk through the process of: Creating...
Announcing the Beta Program for Splice Machine ML Manager Today we are excited to announce the beta program for a new product from Splice Machine called ML Manager. ML Manager is a critical component of our vision to operationalize and incorporate artificial intelligence and machine learning into mission-critical applications. We call this Operational AI as depicted in the diagram below. We believe that in order for organizations to make intelligent decisions in real-time and at...
Splice Machine customers use the platform to power their mission-critical applications. But how does a data platform built on top of Apache HBase and Apache Spark execute ACID-compliant transactions, on petabytes of data, while maintaining the performance to power smart applications that make decisions in real time? In this deep dive webinar, Distributed Transactional Processing on Splice Machine, Chief Architect, Daniel Gómez Ferro, presents Splice Machine’s unique HTAP architecture that handles rapid queries and updates...
This is the second in a series of blogs that we plan to publish to benchmark the performance of the Splice Machine as a hybrid transactional/analytical processing (HTAP) platform. Syed Mahmood, VP Product Marketing, Splice Machine Splice Machine is a data platform with a dual-engine architecture that automatically analyzes each incoming query and then determines the best execution path based on query type and data size. The platform is designed to specifically route analytic queries...
Splice Machine has appointed Luis Fortun as its new VP of Global Alliances. In his new role, Luis will be responsible for overseeing Splice Machine’s growing partnerships, including those with Accenture, Cloudera/Hortonworks, MapR, Deloitte, and more. “As Splice Machine continues to grow, we are only made stronger by our partnerships, making our VP of Global Alliances position an especially crucial one,” says Monte Zweben, CEO of Splice Machine. “Luis has spent his career building strategic...
CEO Monte Zweben leading 'Making AI Real: Operational Strategies for Artificial Intelligence' session Splice Machine, the provider of a leading data platform to power intelligent applications, will be in attendance at Evanta's CDO Executive Summit being held in Chicago on December 11th. Monte Zweben, CEO of Splice Machine, will be presenting the Featured Session 'Making AI Real: Operational Strategies for Artificial Intelligence.' The session will offer valuable guidance to companies who are looking to take...
CEO Monte Zweben moderating Maximize the AI Opportunity – Leveraging Intelligent Data Applications session Splice Machine, the provider of a leading data platform to power intelligent applications, will be in attendance at Evanta's CBO Executive Summit being held in New York City on November 27th. Monte Zweben, CEO of Splice Machine, will be moderating the Executive Boardroom session 'Maximize the AI Opportunity – Leveraging Intelligent Data Applications,' which will look at how AI drives value based...
Accenture’s analytics-as-a-service solution adds Splice Machine’s intelligent application platform to enable customers to rapidly build and deploy predictive applications at scale Today, we are excited to announce the availability of the Splice Machine data platform as part of the Accenture Insights Platform (AIP). AIP is an analytics-as-a-service solution designed to simplify analytics and support a data-native culture. It delivers actionable insights that unlock business value trapped in data and create new value for clients. Offered...
Building a sophisticated date lake used to be an extremely complex and time-consuming process. While many strides have been made—particularly in the implementation process—steep challenges still remain. Chief among them is ROI. In fact, although 9 out of 10 large organizations have started on their data lake journey, many are struggling to generate value out of their significant investments. Splice Machine, provider of a leading data platform to power intelligent applications, recently held a webinar...
AI Is Mission Critical Every company’s board is asking its executive team how they are using AI to digitally transform the business. AI has become a game changing event. Data scientists are now a mainstay of the corporate analyst landscape, looking for that next actionable insight for the business. But injecting AI into business operations is hard. Transactional databases capture the operational data of the enterprise, but to make automated decisions, AI needs analytics. These...
9 out of 10 large organizations have started on their data lake journey, but many are struggling to generate value out of their huge investments. Data lake initiatives either remain incomplete due to 1) the lack of expertise and specialized skills around Hadoop or 2) the failure to scale the highly specialized processing of data for analytics and data science projects. Splice Machine will be holding a webinar on Monday, September 24th at 10am PT to...
In the fast-paced, competitive environment of real estate, data can be a company’s most valuable asset. This is certainly true for Ten-X, the largest online real estate market in the U.S. Over the past eleven years, the Company has had $53 billion in property sales and holds the Guinness World Record for the largest verified e-commerce transaction in history (for a cool $96 million). Behind the scenes, Ten-X realized the value of data and put...
Splice Machine's webinar with TenX on building a mastered data lake for your organization is now available to watch on-demand. For Ten-X, the leading online real estate marketplace, integrating data at scale with MDM is critical. They needed to deliver business insight by combining unstructured clickstream data with very structured master data. They also wanted to utilize their existing Hadoop investment, supporting both OLAP and OLTP on a single platform. To create a Mastered Data...
If you haven't tried building a scalable, relational database that can run mixed transactional and analytical workloads, the Splice Machine team has a word of advice: it's hard. At HBaseCon 2018, Splice Machine co-founder and CEO, Monte Zweben, took the audience through the company's journey in scaling out to meet the needs of a large financial services company. The "battle scars" earned through deploying and scaling the Splice Machine database for this company have resulted...
Precision Innovation Network (PIN) selects Splice Machine's scale-out SQL RDBMS to learn the trajectory of a disease and predict the best treatment methods using machine learning. Growth in the AI health market is expected to reach $6.6 billion by 2021, and—according to Accenture—the combined deployment of key clinical health AI applications can potentially create $150 billion in annual savings for the U.S. healthcare economy by 2026. As a result of this momentum, Precision Innovation Network...
We are excited to announce that Splice Machine has added an extra layer of security for our customers on the Hortonworks Data Platform (HDP). We recently announced the launch of our plugin for Apache Ranger, which will provide customers on HDP a centralized security administration. The Apache Ranger plugin will provide our customers with a framework for central administration of security policies, and the monitoring of user access and security-related administrative actions within all of...
With 90% of companies planning to be on the public cloud by 2020, according to Accenture, it’s clear that the future of business is in the cloud. But the cloud is not a monolith. There are many good options for moving your applications to the cloud. However, it’s far too easy for companies to end up locked into a single cloud platform because of their choice of database, data warehouse or machine learning platform. This...
CEO Monte Zweben discusses real-world implementations of HBase at petabyte scale, while CTO John Leach introduces columnar storage for HBase to enable analytical workloads Splice Machine is excited to be a part of HBaseCon 2018, taking place in San Jose on June 18, 2018, as part of the DataWorks Summit, hosted by Hortonworks. As long-term members of the Apache HBase community, the event gives us a chance to help highlight the production use cases for...
Did you miss our recent webinar with GigaOm? 'Using Your Whole Data Lake: How the Operational Facilitates the Predictive' is now available to re-watch online. Watch Now Many corporations have attempted to set up their first data lake and have spent significant money and resources to connect their CRM, ERP and HR to it. Then, after companies have a well-designed data repository ... it just sits there. 'Using Your Whole Data Lake' explores how to leverage...
Join us for a free 1-hour webinar from Gigaom Research. 'Using Your Whole Data Lake: How the Operational Facilitates the Predictive' will feature Gigaom analyst Andrew Brust, and Splice Machine CEO, Monte Zweben. The discussion will explore how to leverage data lakes as the underpinning of application platforms, driving efficient operations, and predictive analytics that support real-time decisions. Webinar Date/Time: Thursday, May 31, 2018 at 9am PDT/12pm EDT Register Online Many companies in the corporate world have...
Manufacturers have been implementing supply chain optimization systems since the early 1990’s. However these systems often have challenges dealing with the inevitable uncertainties of the real world. Here we describe a new approach that uses a new kind of data platform we call Online Predictive Processing (OLPP). We start out by highlighting the top three problems plaguing manufacturers. Then we present the shortcomings of the current solutions to these issues. We then describe a new...
Earlier this month, Splice Machine announced its new native Spark DataSource for cloud and on-premise customers, as well as Cloud Deployment Containers, designed to make it easy for companies to deploy intelligent, mission-critical applications on Splice Machine’s cloud service on Amazon Web Services (AWS). We spoke with Tony Baer, a principal analyst at Ovum, about our announcement, which resulted in the report, “Splice Machine’s native Spark support adds path for data scientists.” In the report,...
Splice Machine has introduced our new native Spark DataSource, which interacts with your Splice Machine cluster and provides the methods that make it simple to interact directly with your database through Spark. In this article, we'll demonstrate our native DataSource using an Apache Zeppelin notebook on Splice Machine’s Cloud Service - which means you can instantly see results without having to deal with any infrastructure issues: just log into your own Splice Machine cluster. Sign...
IoT applications need to continuously ingest data, process that data, make decisions, and then act. The decision-making pattern typically starts with an ingestion phase of streaming raw data from the edge to a storage medium like the Hadoop Distributed File System (HDFS). Then, data engineers and data scientists iteratively wrangle the data to get it into a form that can be used by learning, planning, and operational systems downstream. Learning systems continuously analyze and build...
Join Splice Machine CEO, Monte Zweben, on Thursday, February 15, 2018 from 10:00 AM – 11:00 AM PDT / 1:00 PM - 2:00 PM EST for our webinar, See Under the Hood of Splice Machine, to get a closer look at how Splice Machine powers smart applications, enables operational data lakes, and replaces legacy databases that are too costly or complex to scale. The recording is now available here. Splice Machine is a scale-out SQL...
The same story keeps surfacing at manufacturers, financial service companies, healthcare providers, and retailers alike: One group says their data lake project was wildly successful because they created an affordable central repository of nearly all enterprise data. But another group claims they have not yet exploited the new repository in their reports, dashboards, and applications. How could this be? We explain why this is happening and how to fix it. You can also learn more...
After our recent launch on the Amazon Web Services (AWS) Marketplace, Splice Machine is excited to be featured on the new AWS Marketplace Machine Learning (ML) and Artificial Intelligence (AI) Discovery page. At the AWS re:Invent 2017 Conference in Las Vegas, AWS unveiled the ML and AI Discovery page that connects buyers with ML/AI enabling software vendors that are already integrated with or running on AWS. View the ML/AI Discovery page here. The page features software...
This year’s Strata Data Conference in New York brought together some of the greatest mind in big data, and Splice Machine was honored to be among them! We were excited to announce our Predictive Application Platform is now available as a fully managed service on AWS Marketplace at the conference, and were able to give demos of the new service at our booth. In our post-conference blues, we’re reviewing some notable recaps discussing Splice Machine’s...
We’re excited for Splice Machine to be exhibiting in booth 811 at the Strata Data Conference in New York from September 26-28 at the Javits Center. Strata brings together some of big data's most influential business decision makers, strategists, architects, developers, and analysts. We are eager to discuss our recent developments since we exhibited at Strata Data Conference in San Jose last March. Since then, we have been working to bring the Splice Machine predictive...
Splice Machine recently presented a Webinar including an IOT Demo, highlighting the features of the Splice Machine Data Platform. Through Splice Machine’s hybrid capabilities, running OLAP and OLTP simultaneously, the platform can better capture, process, store and analyze the large streams of data generated by IoT devices. Over the course of the demonstration, Mark De Visser, Vice President of Marketing at Splice Machine, and Jyotsna Ramenini, covered the following: High Performance Data Ingestion Analytics and...
We’re excited to announce that Splice Machine CTO John Leach will be presenting alongside Software Architect Daniel Gomez Ferro at HBaseCon 2017! The event will be held at the Google Crittenden Campus on June 12 from 8 a.m. – 6:30 p.m. PT. John and Daniel will be presenting, “Splice Machine as a Service: Multi-tenant HBase using DCOS (Mesosphere) and Docker Containers,” at 1 p.m. on Track 2 (Maxwell, CL3). Their presentation will provide valuable information...
Since Gartner coined the term HTAP in 2014 to describe a category of databases, both the technological innovation and market need for them have grown. HTAP, or Hybrid transactional/analytical processing, defines databases that can perform both transactional processes (OLTP) and analytical processes (OLAP). The integration of OLTP and OLAP in a single database provides a more straightforward alternative to traditional approaches that try to utilize relational databases such as Oracle, DB2, SQL Server, MySQL, and...
The Internet of Things is experiencing rapid growth. While there were an estimated 17 billion internet-connected devices in 2016, the number of devices is projected to grow to an astounding 30 billion devices by 2020. During this period of growth, the amount of data being collected from IoT devices will undoubtedly overload many of today’s traditional databases, making it hard for companies to get the most out of their IoT apps. Our latest white paper,...
Hybrid databases have been discussed widely in recent years, particularly the ability to run transactional and analytical workloads concurrently. The industry often refers to this as HTAP (Hybrid Transactional and Analytical Processing). Being able to run OLTP and OLAP workloads concurrently gives application and software architects more flexibility when updating existing apps or building new applications. Based on their HTAP functionality, hybrid databases are becoming the modern standard for real-time, data-driven applications. However, there are other important database characteristics that will also benefit...
Join us on April 20 at 11:00am PT/2:00pm ET for a special roundtable webinar, “Leveraging Big Data with Hadoop, NoSQL and RDBMS,” presented by Splice Machine CTO and co-founder, John Leach, along with Ashish Sahu of Cask and Brian Bulkowski of Aerospike, and hosted by Database Trends and Applications (DBTA). Due to continued innovation within data management and analyzation, there has been an exponential increase in the number of Big Data products available on the...
We’re excited to announce that we are exhibiting at Strata + Hadoop World San Jose 2017 from March 13 – 16 at the San Jose Convention Center. Strata + Hadoop World brings together some of big data's most influential business decision makers, strategists, architects, developers, and analysts. We are eager to discuss our recent developments since our last visit to San Jose for Strata + Hadoop World. We’ve added columnar storage, statistics and in-memory caching,...
By: Mandar Pimpale Modern applications are becoming increasingly data intensive, demanding a mixed workload of both OLAP and OLTP queries. Such web, mobile or e-commerce applications, more intelligent and complex in nature, call for the analysis of real time data and not of yesterday’s data. It is but a natural progression in the data management, and it is fast becoming a de facto standard, so much so that Gartner has started to track data-engines which...
By Erin Driggers I’ve imported my share of data and have had some frustrating experiences importing data into Splice Machine and other databases. To help you avoid some of the frustration I’ve felt, I’d like to share several data importing tips I’ve acquired over time. Tip 1 - File location First, you must be aware of the difference between the fileOrDirectoryName parameter in the import command, depending on whether you are running an import in...
By Monte Zweben, CEO and co-founder of Splice Machine I am so excited divulge here that Splice Machine will launch its cloud-based DBaaS in 2017. Soon you will be able to go to SpliceMachine.com and provision a clustered, scale-out, hybrid OLTP/OLAP database in minutes, and we will operate it for you. Instead of provisioning both a cloud RDBMS (like AWS RDS) to run your apps and a cloud data warehouse (like AWS Redshift) to run...
Big Data has exploded in recent years. As a result, many businesses have come to a crossroads: invest more to scale up their legacy Oracle system, or make the move to another RDBMS to be able to increase the functionality and capabilities of their business. As one of the first relational database systems on the market, the Oracle RDBMS, has led the database industry for decades. Businesses built their entire IT system around the database...
We’re excited to announce that our CTO and co-founder John Leach will be speaking at Spark Summit East 2017! John will be presenting, “Utilizing Spark As The Analytical Core To An Open Source HTAP Relational Database On HBase,” on the final day of the conference, February 9 at 3:20pm in Ballroom A. This presentation will walk through how a dual engine architecture can exist where Apache® Sparkä supports analytical queries and large database maintenance operations...
By Monte Zweben, CEO and co-founder of Splice Machine A key function of artificial intelligence (AI) is to make software applications adaptive, using machine learning to improve them based on the data that they process. The machine learning workflow typically involves data scientists to perform model selection, and then application developers to deploy the selected models. Model selection is an iterative process of feature engineering, algorithm selection, and parameter tuning in an experimentation environment. Feature...
DOMO is a business intelligence (BI) and Analytics Platform that can easily integrate with Splice Machine via ODBC drivers to power analytics for your organization. What is DOMO? The BI platform delivers a SaaS-based platform that helps CEOs and business leaders transform the way they manage business via direct access to data, and lets you see all the information you care about in one place to make better decisions. Features of DOMO: The platform is well known for...
When open source originated as a term, it was used to describe a specific approach to create computer software programs. Today the meaning of open source has grown and is used to describe a way people communicate and share ideas. Anything can be open sourced; software, hardware, electronics, digital content, medicine, food, beverages, fashion- even culture. Splice Machine started building an open source culture long before we open sourced our code. We began by selecting...
Many businesses are looking to take the next step forward in their business through the integration of modern applications and cutting-edge functionality, such as machine learning or real-time data processing. For a lot of companies, the question comes down to: can they power these future applications with their current Oracle database? And if not, is it plausible for them to be migrating from Oracle considering the cost, compatibility issues and possible loss of data? With...
Splice Machine is hosting the Bay Area HBase User Group Meetup on Thursday, December 8, 2016. The meetup will start at 6:30pm and will be held at the Splice Machine Office. In honor of some friends visiting town, the HBase Meetup has a great schedule set for the event, featuring several speakers over the course of the evening. Speaking first is Ohad Shacham of Yahoo! Research who will be discussing the update on the state...
Splice Machine is gearing up to exhibit at Amazon’s fifth annual AWS re:Invent conference from Monday, November 28 until Friday, December 2 in Las Vegas. Make sure to visit Splice Machine at booth #1344, starting on Tuesday night…you don’t want to miss what we have in store! The five-day conference features engaging hands-on labs and bootcamps to teach how AWS can improve developer productivity, network security, and application performance while keeping infrastructure costs low....
Splice Machine is excited to announce its partnership with the U.S. Commerce Department’s National Technical Information Service (NTIS). NTIS revealed the 35 organizations that have the eligibility to become joint venture partners (JVPs) of the department following an extensive, merit-based evaluation process. “We expect the new data science platforms, tools and apps created through these partnerships to help agencies save time and money through innovative, effective ways to manage data in carrying out their mission...
Splice Machine is presenting at three Bay Area meetups this month: Advanced Spark & TensorFlow meetup at Splice Machine in San Francisco on Thursday, November 3 at 6:00pm San Francisco Hadoop User Group meetup at Splice Machine in San Francisco on Tuesday, November 8 at 6:00pm Silicon Valley Java User Group meetup at Google West Campus in Mountain View on Wednesday, November 16 at 6:00pm At the Advanced Spark & TensorFlow meetup, Splice Machine’s...
Join us at the Bay Area Hadoop User Group Meetup on October 19 from 6pm to 9pm PT. Splice Machine CEO Monte Zweben will be speaking on the Architecture of an Open Source RDBMS powered by Apache HBase® and Apache Spark™. In addition to Monte, Peter Kisich of FactorData and Joe Francis of Yahoo will be speaking during the meetup. Monte’s talk will describe the architecture and implementation of Splice Machine V2.0. The system...
Splice Machine recently announced at Strata + Hadoop World NYC that it now supports native PL/SQL on Splice Machine. This support will dramatically reduce the time and cost for companies to perform an Oracle application migration from Oracle databases as companies continually deal with an exponential growth of data. Along with the launch of this new feature, Splice Machine is hosting a webinar on Tuesday, October 11 at 10 am PT/1 pm ET to discuss...
We are excited to announce that Splice Machine will be exhibiting at the Strata + Hadoop World New York 2016 from September 27-29, 2016 at the Javits Center. This conference is where the communities behind emerging projects associated with the big data ecosystem show off their code and projects to thousands of developers, data scientists, researchers, and business analysts. The Splice Machine team will be discussing what’s new with our open-source SQL RDBMS powered by...
Join Splice Machine at the HBaseCon East 2016 Meetup on Monday September 26, 2016 from 12:00 pm until 6:00 pm as we prep for Strata + Hadoop World NYC along with the rest of the Big Data community. Google and Bloomberg are co-hosting this meetup for the Apache HBase™ community to meet and discuss the latest HBase developments. We are also excited to have John Leach, Co-Founder and Chief Technology Officer of Splice Machine, and...
Splice Machine recently hosted two one-hour webinars, each focused on the Lambda Architecture. The first webinar, which was presented by Chiny Driscoll, CEO of MetiStream, and Krishnan Parasuraman, Vice President of Sales and Business Development for Splice Machine, discussed simplifying the Lambda Architecture. Many companies are struggling to support multi-workload environments where both batch and real-time streaming data pipelines are required to fuel their applications. A common way to address this is the Lambda Architecture,...
Join Splice Machine at Big Data Everywhere San Francisco 2016 on Tuesday, August 30. We are looking forward to meeting with attendees and discussing Splice Machine’s recent move to open source along with an easy-to-use sandbox cluster generator for Amazon Web Services. As an open source SQL RDBMS powered by Hadoop and Spark, the Splice Machine database helps take Big Data “everywhere” by powering simplified Lambda Architectures and allowing for easier migrations of mixed OLTP/OLAP workloads from...
Enterprises are challenged by the constant need to improve the performance of their data ingestion and processing so that they can unlock data driven decision making. To bring a more affordable and scalable data processing platform to more companies, Splice Machine is happy to announce our new partnership with Incedo. Incedo is a technology solutions provider specializing in data and analytics, product engineering and emerging technologies. The partnership will generate solutions to help enterprises as well...
Developers rule! We know they influence technology decision-making both with their vote in the enterprise and their voice as a community member. When we asked developers what their experience was with Splice Machine, we learned something really meaningful that has changed the way we’re building, marketing and selling our software. They would hear about us, visit our website, get excited about the mixed OLTP/OLAP workload concept, and with skepticism say, “I’ll believe it when I...
We are excited to announce that Splice Machine will be exhibiting at Hadoop Summit 2016 in San Jose from June 28th to June 30th. This conference is designed for you to get deep-dive technical content while you learn about the technologies and business drivers that are transforming big data. If you haven’t registered yet, save 20% on a standard all-access pass with this code: 16SJspO20. Splice Machine, provider of the first dual-engine RDBMS powered by...
Splice Machine will be sponsoring and attending the 2016 ACM SIGMOD/PODS Conference, which is coming to San Francisco from June 26th to July 1st. At SIGMOD 2016, we’re looking forward to discussing the latest in cutting-edge database trends and technology with over 900 of the industry’s leading minds. With the announcement of our upcoming move to open source, the dual-engine Splice Machine RDBMS will be an option for more developers and data scientists to utilize...
We are very excited to announce that Splice Machine is going open source! More importantly, we’re thrilled to welcome a larger audience to use our database. We invite open source contributors, mentors, sponsors and champions in database architecture and development to the open source platform in order help guide and support the transition to open source and shape the next generation of Splice Machine’s relational database features. So what does this mean for Splice Machine...
Join Splice Machine at Big Data Everywhere Phoenix 2016 on Wednesday, May 25th. We’re proud to be sponsoring the event this year! We’re also looking forward to taking meetings with conference guests and sharing information about Splice Machine’s simplified stream processing pipeline. For the first time, you can make informed decisions based on real-time data at a fraction of the cost of Oracle and other legacy RBDMS platforms. Big Data and the rapid influx of...
It’s no surprise that many companies are looking into SQL-on-Hadoop options. Standard SQL enables companies to tap into existing SQL-trained resources while being able to benefit with the scale-out cost-effectiveness of Hadoop. With so many SQL-on-Hadoop options available, selecting the right one can be a daunting task for any CTO or IT manager. Here are some questions to ask to help ensure that you get a SQL-on-Hadoop solution that meets your specific needs: Can it support...
CRN Big Data 100 for 2016 is a list of the top 100 companies offering everything from next-generation database systems, to advanced data integration technology, to tools for developing applications that take advantage of big data. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative solutions for harnessing the increasingly huge amounts of data generated in today’s digital world, raising the bar for data management and challenging established IT practices. Selection...
Apache HBase is the NoSQL database in the Hadoop ecosystem that powers major websites and apps such as Spotify, Netflix, LinkedIn and Facebook's messenger. A distributed, highly scalable, big data store, HBase allows you to perform real-time read/writes to individual records in the Hadoop Distributed File System (HDFS). The goal of HBase is to host extremely large tables—billions of rows by millions of columns—atop clusters of commodity hardware. Splice Machine also uses HBase to power our...
We’re excited to share that Splice Machine CEO Monte Zweben will be a featured speaker at Data By the Bay 2016 on Friday, May 20th from 9:50am - 10:30am. We hope you’ll join us in the capital of Big Data, San Francisco, as we hear from the engineers and scientists who are building scalable open-source data pipelines for startups and established enterprises alike, allowing them to learn and improve as they grow. Data By the Bay connects...
A career to be passionate about … A job that pays the bills (and more) … A company with a mission and management team that inspires you … A professional environment that empowers you and colleagues you enjoy working with … These are the qualities we hear so often when people describe their “dream job”. But time and again, the research has shown that the jobs people enjoy the most are ones in which the...
Join Splice Machine at Big Data Everywhere San Diego 2016 this Tuesday, April 12, where we’ll be taking meetings and sharing the latest updates on our unique dual engine database , including our newest product release that allows you to make smarter decisions based on real-time data at a fraction of the cost. According to IDC, the Big Data technology and services market Big Data technology and services market will grow at a 26.4% compound annual growth...
Splice Machine hosted a one-hour Tony Baer webinar on Thursday, March 17th focused on the convergence of OLAP and OLTP (@TonyBaer). During this event, he shared his views on: Database trends The future of OLTP and OLAP Making data real (time) Common use cases, including digital marketing and IoT Converging OLAP + OLTP: architectures, benefits and why this is likely to be in your future Tony Baer is a recognized authority in extending data management...
We are excited to share that Splice Machine will once again be exhibiting at Strata + Hadoop World 2016 in San Jose, CA. Find us at at booth #1329 on March 29th and 31st. We’ll be taking meetings and sharing the latest updates on our unique dual engine database. Unlike Oracle, MySQL, IBM DB2 and Microsoft SQL Server, our solution is more efficient, less expensive, and allows you to make smarter decisions based on real-time data....
We’re excited to announce that Splice Machine be exhibiting at Structure Data 2016! Structure Data will bring together top Big Data analysts, technologists and companies who are implementing bold data strategies. Find us in San Francisco in the networking lounge on Wednesday and Thursday on March 9th and 10th or follow along online at #StructureData, @Structure Data and @splicemachine, as well as our CEO @MonteZweben. We’ll be taking meetings and talking about Splice Machine’s new dual-engine...
IDG Connect, a division of the world’s biggest tech media company, has named Splice Machine as one of 20 “red-hot” pre-IPO companies in B2B tech of 2015. Our strong positioning within the hotly competitive relational database management system market puts us in good company! Hot-list pre-IPO qualifiers included characteristics like strong management, a clear vision, differentiated products or services, and the high opinion of industry influencers. We’re proud to be disrupting the legacy RDBMS market,...
Join Mike Franklin, Professor and Director of the AMPLab at UC Berkeley, for a webinar to learn about the future of Big Data software. The AMPLab has reshaped Big Data by developing technologies such as Spark, MLlib and GraphX as components of BDAS, the Berkeley Data Analytics Stack. AMPLab continues to push the envelope in this space for what’s coming next. In this webinar, you will learn about the following trends: Integrated stacks vs. silos Real-time...
Join Splice Machine’s very own Co-Founder and CTO, John Leach, on Thursday, January 21 for a Meetup in San Francisco. We will discuss how Splice Machine uses Spark as part of a hybrid RDBMS architecture that includes Hadoop and HBase. Other topics of discussion will include how the optimizer evaluates each query and sends OLTP traffic (including CRUD queries) to HBase and OLAP traffic to Spark. This HUG Meetup will focus on the challenges of...
2015 was a major growth year for Splice Machine. We announced new partnerships with Talend, mrc and RedPoint Global. We released version 1.5 of our Hadoop RDBMS in October, and in November, we announced the first hybrid in-memory RDBMS, powered Hadoop and Spark, which is now available as a public beta. We are excited to ring in the new year and have big expectations for ourselves and the industry in 2016. Here are a few...
Join Splice Machine’s Rich Reimer to learn more about the recently announced Splice Machine Version 2.0, which has added flexible in-memory capabilities from Apache Spark to its transactional Hadoop RDBMS. In this webinar, you will learn about: Apache Spark and how it supports high-performance advanced analytics Version 2.0's ability to support simultaneous OLTP and OLAP workloads with advanced resource management How the Splice Machine optimizer automatically evaluates each OLTP and OLAP query and sends to...
We are proud to announce the version 2.0 of the Splice Machine RDBMS, the first hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine Version 2.0 delivers a database solution that incorporates the proven scalability of Hadoop, ANSI SQL, ACID transactions, and the in-memory performance of Spark. Our new, flexible hybrid database enables businesses to perform simultaneous OLAP and OLTP workloads and increase performance over traditional RDBMS, such as Oracle® & MySQL™, by 10-20X,...
It’s a good day here at Splice Machine. Today we announced the release of version 1.5 of the Hadoop RDBMS. After listening closely to our customers, prospects and partners, we have used their feedback to improve our solution. We’ve added multiple enterprise-ready features that enable businesses to confidently replace their traditional RDBMSs, such as Oracle® & MySQL™, with an affordable, scale-out alternative that delivers 5-10x greater performance at one fourth the cost. Now, businesses can...
Splice Machine VP of Product Management, Rich Reimer, will be presenting “Using HBase Co-Processors to Build a Distributed, Transactional RDBMS” at The Houston Hadoop Meetup Group in Houston tomorrow, October 13, 2015. Taking place at the Microsoft offices, Reimer will discuss how to use HBase co-processors to build an ANSI-99 SQL database with 1) parallelization of SQL execution plans, 2) ACID transactions with snapshot isolation and 3) consistent secondary indexing. About the talk Transactions are...
What is HBase? Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google’s Bigtable: A Distributed Storage System for Structured Data. HBase supports random, real-time read/write access with a goal of hosting very large tables atop clusters of commodity hardware. HBase features include: Consistent reads and writes Automatic and configurable sharding of tables Automatic failover support How HBase Works: HBase uses ZooKeeper for coordination of “truth” across the cluster. As region servers come online,...
Why do we use Apache Derby? With over 15 years of development, Apache Derby is a Java-based SQL database. Splice Machine chose Derby because it is a full-featured ANSI SQL database, lightweight (<3MB) and embeds nicely into the HBase/Hadoop stack. Apache Derby is an open-sourced database which Splice Machine has significantly modified to use the distributed Apache HBase as its storage layer. Splice Machine takes advantage of these features within Derby: 100% Java ANSI...
Splice Machine is excited to share that CEO and co-founder, Monte Zweben, and CTO and co-founder, John Leach will be speaking at this year’s Strata + Hadoop World New York. Strata + Hadoop World, presented by O’Reilly and Cloudera, attracts data scientists, analysts, and executives who want to further their knowledge and exposure to emerging techniques and technologies through case study reviews, in-depth tutorials, sharing of industry best practices, and industry topic-specific sessions. The session...
We are excited to share that our CEO and co-founder of Splice Machine, Monte Zweben, will be speaking at the fifth annual NoSQL Now! 2015 conference & expo, the largest vendor-neutral forum focused on NoSQL (Not Only SQL) technologies, coming up this August 18-20,, 2015, in San Jose, CA. The conference will feature 80 world-class educational sessions, 100+ expert speakers, 30+ leading technology vendors, and approximately 1,000 attendees. The session, titled, “On the Path to...
The ETL (extract-transform-load) process was born out of necessity, and for decades, it has been the glue that holds together data sources and target applications. Anecdotally, it accounts for 70 percent of the effort in a data warehouse setup. But as data growth continues to soar, and as increased competition demands real-time data, the standard ETL process has pushed these systems to their break point, making the process brittle and often unmanageable. Scaling up resources...
As the collection of data proliferates, retailers are increasingly both overwhelmed by and interested in capturing the growing volumes to deliver greater value to their organizations. Whether the requirement is increasing revenue and margin, improving customer loyalty and consumer intimacy, or back-office optimization of IT processes – data driven decision-making is the key to success. For the Retail and Consumer Packaged Goods industries the benefits of Big Data solutions, such as Hortonworks Hadoop, and scale-out...
To NoSQL or to NewSQL? The key to riding the wave of Big Data and enabling digital applications in real time is to select the right database that can support massive data growth without bursting IT budgets. The high cost of scaling up traditional relational databases, such as Oracle, IBM DB2 and MySQL, has driven many businesses to seek affordable scale-out solutions through NoSQL or NewSQL options. There has been a lot of noise in...
The ETL (extract, transform and load) process was one born out of necessity, but it’s now a relic of the relational database era. Scale-out platforms like Hadoop and Spark provide the means to move beyond ETL, with lower cost data storage and processing power. Let’s look at how we got here and how we can get the EL out of the ETL process treadmill. The ETL Process: Your IT Department’s Hidden Burden As enterprise systems...
We are excited to announce that we have officially achieved certification on the MicroStrategy Analytics Platform, the most powerful provider of data-driven analytics. Our partnership will enable faster query times and real-time updates, powering operational analytics and reporting on up-to-the-second data stored in more affordable Hadoop clusters for MicroStrategy users. In addition, Splice Machine is now part of the MicroStrategy Technology Partner Program, which will allow us to stay current with all upcoming releases. Click...
Register now to join us on Thursday, June 25th at 11am PST/2pm EST for a webinar: Kickstart your Hadoop Journey with Splice Machine and m-Power. While Hadoop is one of the fastest growing technologies today, unlocking its potential is not easy for most enterprises. Businesses need to have the right skill sets or have compelling use cases in the Big Data space to benefit from Hadoop. Please register now for the webinar, Kickstart your Hadoop Journey with...
ETL too slow or constantly breaking? Find out how to use Hadoop to fix your ETL process while avoiding the landmines. Splice Machine, provider of the Hadoop RDBMS database for Big Data applications, invites you to watch our webinar: Streamlining the ETL Pipeline with Hadoop. ETL has historically been viewed with willful disregard. Companies approached ETL with a set-it-and-forget-it mentality. Prior to Big Data this was OK, but as some organizations are discovering, that approach needs...
Learn cost-effective ways to power your web, mobile, OLTP, and Internet of Things applications in our latest white paper, “The Guide to Scaling Operational Applications on Hadoop.” Powering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth, businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of...
A common struggle for data-driven enterprises is managing unnecessarily complicated data workflows with bloated ETL pipelines and a lack of native system integration. To help solve the most common Big Data integration issues, Splice Machine has partnered with Talend, a global leader in Big Data integration software. Our partnership will bring together an IT architecture to enable customers to simplify data integration and streamline data workflows for real-time operational applications on Hadoop. Organizations that wish...
Database Trends and Applications’ 2015 Readers’ Choice Awards voting is now open! As one of the more than 300 nominees across 29 categories, Splice Machine was nominated for Best Database and Best Hadoop Solution. Vote here today and keep an eye out for some of our partners who were also nominated! Voting is open until May 22. We appreciate your vote!
If you’re evaluating or using a SQL-on-Hadoop solution, we have some information that you might find valuable. Splice Machine co-founder and CEO, Monte Zweben, recently talked about the top 10 SQL-on-Hadoop pitfalls at Strata + Hadoop World. We’ve made the presentation available for download to help shed a little light on some of the questions you should be asking when looking at a SQL-on-Hadoop platform. In the presentation, Monte reviews ten issues that we’ve encountered...
If you follow Splice Machine on Twitter, LinkedIn or Facebook, you may have seen the announcement about our partnership with RedPoint Global, a leader in data management and digital marketing software. Our hope is that, with this partnership, organizations can stop “spray and pray” marketing and begin to leverage the scalability and cost-efficiencies of Hadoop to achieve the benefits of personalized, real-time marketing. We made the announcement at MarTech 2015 to help organizations understand the...
The Splice Machine team is excited to be attending MarTech from Monday, March 30th to Wednesday, April 1st at the Hilton San Francisco Union Square. MarTech is a vendor-agnostic forum for understanding the breadth of marketing technologies and will be the go-to conference for the growing community of senior-level, hybrid professionals who are both marketing-savvy and tech-savvy. Come visit the Splice Machine booth and learn how to bring affordable scalability to your campaign management, data...
By Sara Schrage, VP Global People Operations Companies world-wide are struggling to grow their teams on time and at budget. Conventional methods of hiring and building teams are no longer practical for any company, especially early stage companies developing next-generation technology and finding themselves competing for the same talent as thousands of other businesses on a global scale. Many companies have implemented the use of distributed teams, commonly described as a “group of individuals who...
Come meet Splice Machine at Enterprise Data World (EDW) at booth 214! Celebrating its 19th year as the most comprehensive educational conference on data management in the world, EDW brings together hundreds of senior-level data professionals to explore the transformation to data-driven businesses. Splice Machine, The Hadoop RDBMS, delivers a modern database solution, a scale-out alternative to traditional RDBMSs, such as Oracle®, MySQL™, IBM DB2® and Microsoft SQL Server®. Designed to scale and power real-time...
At Splice Machine, we’re big believers in the importance of ACID transactions for applications. ACID (Atomicity, Consistency, Isolation, Durability) compliance in database transactions ensures reliable, real-time updates without data loss or corruption – a critical requirement for many applications (e.g., financial, healthcare and security). If you think of the recent announcements from Apple – Apple Pay, HealthKit and Apple Watch – you can connect the dots to why the world’s largest company would be interested...
Splice Machine is proud to partner with mrc (michaels, ross & cole, ltd.), a global software company that specializes in web application development software. Splice Machine’s Hadoop RDBMS works with mrc’s m-Power Platform to create business applications on any platform. The m-Power Platform creates all types of enterprise web (and mobile web) applications, such as BI applications, reports, portals, e-commerce apps, dashboards, and more. By integrating with Splice Machine, m-Power will now deliver even faster...
Join us at booth 1019 for a free t-shirt and a chance to win one of three $100 gift cards Transactions were long thought of as something out of scope for Hadoop, but that is changing due to it's unique ecosystem. Now, as Hadoop has come to be the de facto standard in the Big Data space, there’s no reason why online transaction processing can’t run on the program. At this year's Strata + Hadoop World...
The phrase “data lakes” has become popular for describing the moving of data into Hadoop to create a repository for large quantities of structured and unstructured data in native formats. Yet, many are unfamiliar with the concept of operational data lakes, which enables the structured content of the data lake to be stored in its native relational framework. Because of its RDBMS functionality, an operational data lake allows companies to expand on what they are...
Built on top of the HDFS and Apache HBase components in the Hortonworks Data Platform (HDP), Splice Machine is delighted to announce that it has completed the required integration testing with HDP. Customers can now take full advantage of Apache Hadoop by incorporating their OLTP and OLAP applications. Splice Machine makes Hadoop transactional to power real-time applications Splice Machine’s database supports ANSI-standard SQL and enables businesses to scale real-time operational and analytical applications without significant...
Organizations are now looking for ways to handle exploding data volumes while reducing costs and maintaining performance. Managing large volumes and achieving high levels of concurrency on traditional scale up databases, such as Oracle, often means purchasing expensive scale-up hardware. But now there is a better way to scaling Oracle databases. In contrast to other scale-out vendors, Splice Machine is the only RDMBS on Hadoop. Splice Machine supports organizations who are looking to scale affordably...
Splice Machine hosted a webinar on Tuesday, January 20th with William McKnight of the McKnight Consulting Group and Splice Machine’s own VP of Product Management and Marketing, Rich Reimer. During this webinar, you will learn how Hadoop is transitioning from a novel concept to a key component of modern data management architectures. People get excited when shiny a new technology comes along, especially when it promises to solve major pain points. But sometimes jumping in...
Splice Machine will be returning to Strata + Hadoop World 2015 at the San Jose Convention Center, February 17- 20, 2015. Our co-founder and CEO Monte Zweben will give a presentation on Friday, February 20th at 4:00pm, titled, “Top Ten Pitfalls to Avoid in a SQL-on-Hadoop Implementation.” The presentation will explore ten of the most common pitfalls that companies using SQL-on-Hadoop encounter. This talk will also provide current and future adopters with the valuable knowledge needed...
Companies are increasingly recognizing the need to integrate big data into their real-time analytics and operations. For many businesses, though, the path to big data is riddled with challenges – both technical and resource-driven. Splice Machine invites you to download CITO Research’s whitepaper and learn about the operational data lake’s potential as an on ramp to Big Data by upgrading outdated operational data stores (ODSs). Click to download. About CITO Research CITO Research is a...
We are proud to share the news that our customer, Harte Hanks, has won a 2015 CIO Impact Award from Frost & Sullivan! The CIO Impact Awards honor enterprise teams and individuals that are enabling breakthrough new business models and strategies through the innovative use of transformative technologies. Harte Hanks was entered into one of eight technology-specific categories and evaluated by a panel of expert Frost & Sullivan judges. All eight categories are for outstanding...
Exiting public beta, Splice Machine is now generally available and offers new features for enterprise readiness, enhanced integration with the Hadoop ecosystem, and advanced analytical capabilities such as Window Functions. We’re thrilled to announce the release of Splice Machine version 1.0. We’ve worked closely with several of our charter customers and partners, including Cloudera, MapR and Hortonworks, to determine the features needed to make our Hadoop RDBMS enterprise-ready. We have added numerous important enhancements to...
We are excited to announce another milestone for Splice Machine! We are now partners with Lucidworks, the only company that delivers enterprise-grade search development platforms built on the power of Apache Lucene/Solr open source search. So what does this mean for our customers? Our partnership with Lucidworks will enable non-technical users (those other than developers, analysts and data scientists) to access and analyze their unstructured data quickly, without being proficient in SQL. Application users will...
The Splice Machine team is at Strata Conference + Hadoop World 2014 and we hope you’ll come visit. We’re located at Booth #246 at the show's new home at the Javits Center. Throughout the show, attendees can enter to win $1,000 by stopping by the booth and talking to us about the only Hadoop RDBMS. Plus, we've got brand new orange shirts with the very popular "Still Doing ACID…Transactions on Hadoop" message. You can stop...
The Splice Machine team is at Oracle OpenWorld and we hope you’ll come visit. We’re located at Booth #2233 right next to the Big Data Showcase (see map). Throughout the show we’ll be offering Oracle OpenWorld attendees a chance to win $1,000 by posting photos of themselves in a Splice Machine t-shirt to Twitter on the days of Oracle OpenWorld. They’re brand new shirts with our Still Doing ACID…Transactions on Hadoop message. So how do...
We’re proud to announce that Splice Machine customer, Harte Hanks, has won the Ventana Research Technology Leadership Award, in the Big Data category. Splice Machine, along with Cloudera, was recognized on behalf of its customer Harte Hanks, which powered its campaign management solution with Splice Machine’s Hadoop RDBMS running on Cloudera CDH. As one of our first charter customers, Harte Hanks, a marketing services provider for top brands worldwide, has been putting the Splice Machine...
This summer has been a busy one for our rapidly growing startup. We extended our Series B financing, launched our Public Beta and announced the first members of our Advisory Board. Plus, we were selected by AlwaysON as an OnDemand Winner and by Red Herring as a Top 100 North America winner. With these successes comes opportunity for growth, and room for some very important new hires. We would like to announce two additions to...
It’s been a month since we announced the extension to our Series B funding. As our company continues to evolve, we’re proud to announce the first executives on Splice Machine’s new board of advisors. This group includes database luminaries Roger Bamford, Mike Franklin, Marie-Anne Neimat and Ken Rudin. We can’t wait to engage with this great team of experts as we enter our next stage of growth. You likely already are familiar with these individuals,...
Last week, we announced a $3M extension to our Series B financing. The funding indicates strong support in the market for an RDBMS with affordable scale-out that can replace traditional databases experiencing cost or scale issues. The investment expands the initial $15 million Series B investment from Interwest Partners and Mohr Davidow Ventures (MDV), bringing the total round to $18M, and our total funding to date to $22M. Our Series B extension funding came from...
Splice Machine invites you to register for the webinar: The Big Data Trifecta: Using Hadoop, NOSQL and RDBMS, hosted by DBTA on Wednesday, August 20, 2014 at 11:00am PT/ 2:00pm ET.This webinar will discuss the distinguishing factors between Hadoop, NoSQL and RDBMS. During the webinar, Splice Machine’s Rich Reimer, VP of Marketing and Product Management will highlight how Splice Machine works with “the Big Data Trifecta” in its product, the only Hadoop RDBMS. The webinar also...
Splice Machine hosted a webinar on Tuesday, August 5th with Dr. Robin Bloor of the Bloor Group. Splice Machine’s John Leach and Rich Reimer explained how Splice Machine’s solution delivers the best of both Hadoop and RDBMS. As the pressure of Big Data collides with the reality of daily operations, many organizations are trying to solve the challenge of meeting new requirements without disrupting the flow of business. One solution focuses on the data layer...
Did you miss our last two webinars with Database Trends and Applications (DBTA) and Data Informed? Don’t worry. For your convenience, Splice Machine webinars can now be accessed on demand. Database Trends and Applications (DBTA): On Thursday, May 15th, Splice Machine participated in a webinar with DBTA, called Unlocking the Analytical Power of Hadoop Using SQL. The webinar was moderated by DBTA and featured Rich Reimer from Splice Machine as well as executives from MapR...
OpenWorld attendees, visit Splice Machine at booth number 2233 in Moscone South by the Big Data Showcase. Contact us at [email protected] to request a free exhibition pass.
As the provider of the only Hadoop RDBMS, Splice Machine helps customers power Big Data analytics and applications that rely on real-time data updates and real-time queries to deliver value. To date, most Big Data and Hadoop use cases have focused on ETL and batch analytics. However, there is a new class of Big Data use cases emerging: powering real-time applications and analytics. New SQL-on-Hadoop technologies enable real-time, interactive queries on Hadoop. In other cases,...
The entire Splice Machine team is proud to announce the release of our public beta. After extensive development and testing, the only Hadoop RDBMS can now be downloaded here. If you’re not familiar with Splice Machine, let’s take a look at some of the key features and how you can get started with the beta. What is the Splice Machine database? We say that Splice Machine is the only Hadoop RDBMS. Finally, Hadoop can power...
We’re proud to share that Splice Machine has been selected as a finalist for Red Herring's Top 100 North America award. As we celebrate our public beta launch, it’s a great feeling to have this kind of validation in the marketplace. As background, Red Herring has been selecting the most exciting and promising start-ups and "scale ups" since 1995. In the past, the list of finalists for the top 100 North America award have included...
The Splice Machine team is returning to HBaseCon this year and wants to meet with you! We are huge advocates of the power of HBase and have utilized it as the distributed computing engine for our database. It’s a key component of our Hadoop RDBMS because of its proven auto-sharding, replication, and failover technology. HBaseCon is a community event for Apache HBase contributors, developers, admins, and users of all skill levels. The event is also...
Join Splice Machine on Thursday, May 15 at 11:00am PDT/2:00pm EDT for a free webinar, Unlocking the Analytical Power of Hadoop Using SQL. The webinar will be moderated by DBTA and features Rich Reimer from Splice Machine as well as executives from MapR and MicroStrategy. As the provider of the only Hadoop RDBMS, Splice Machine is built on the belief that both Hadoop and SQL are key components in a successful analytics platform. We look...
Gartner, the world's leading information technology research and advisory company, has named Splice Machine a “Cool Vendor” in its 2014 DBMS report. So, what is this “Cool Vendor” report? Each year, Gartner identifies new “Cool Vendors” in key technology areas and publishes a series of research reports highlighting pioneering vendors and their products and services. As the provider of the only Hadoop RDBMS, Splice Machine enables companies to replace traditional RDBMS systems that are too...
April 27th is the start of Enterprise Data World (EDW). Splice Machine will be at Booth #37 and ready to talk!EDW is a data management conference that brings together hundreds of senior-level data professionals, from architects to executives. We’re excited to step beyond the Big Data/Hadoop® universe and bring the message of Splice Machine to an expanded audience.Splice Machine, the only Hadoop RDBMS, can be a key component in an enterprise’s overall data strategy because...
There’s an elephant in the room and for once, everyone is talking about it. No longer just an interesting data management technology for batch processing, Hadoop is maturing into the distributed infrastructure for the next generation of RDBMSs (Relational Database Management Systems) - thanks to the efforts of the Apache community, the organizations behind the various Hadoop distributions and those companies building on top of Hadoop, such as Splice Machine. In the early years of...
Splice Machine will be exhibiting at Booth 305 at Strata + Hadoop World 2014 in New York. Use discount code "Splice20" to get a 20% discount when registering.
We’re proud to share that Splice Machine is bringing the power of a transactional real-time SQL-on-Hadoop RDBMS into the world’s largest ecosystem of enterprise Hadoop vendors and service providers. Splice Machine has joined the Cloudera Connect Partner Program, after certifying on Cloudera 5, the latest generation of Cloudera’s platform for Big Data. Now, more companies can build real-time Hadoop applications. This is a milestone we are particularly proud of, as we gear up to launch...
Splice Machine is sponsoring Big Data TechCon in San Francisco from October 27-29, 2014. Visit us at booth 105 and use discount code "Splice" to get $200 off a full conference pass.
We are excited to announce that our CEO and co-founder Monte Zweben will be headed east to speak at the DBTA Data Summit on Tuesday, May 13th in New York! The event takes place from May 12-14 and will cover all of the key issues in the world of data management and analysis today, including Hadoop. Monte will be a part of a real-world discussion on how Splice Machine has had success with charter customers...
Splice Machine CEO and co-founder, Monte Zweben, sat down with John Furrier, Founder of SiliconANGLE, and Dave Vellante, Chief Analyst at Wikibon, at Big Data Silicon Valley 2014 for theCUBE. The interview covers Splice Machine's recent Series B funding round, the future of Hadoop and how people are using Splice Machine today to power real-time applications. You can also read a summary of the interview on DevOpsANGLE.
We’ve got great news! Splice Machine just closed a $15M Series B round of funding from InterWest Partners, along with returning Series A investor Mohr Davidow Ventures. It’s a proud moment for everyone here at Splice Machine, as this next round of funding validates our goal of revolutionizing the database and Hadoop marketplaces. Our product will power a new generation of Big Data applications that can harness real-time data in operational and analytical workloads and...
Things are moving along here at Splice Machine! Today, we announced that Splice Machine has joined Hortonworks Technology Partner Program to drive real-time SQL-on-Hadoop applications. This is exciting, as the partnership enables our transactional SQL-on-Hadoop database to run on Hortonworks Data Platform (HDP), the 100% open source Apache Hadoop data platform and the leading open source Hadoop provider. So what does this mean for our customers? Splice Machine users will be able to harness the...
Splice Machine will be speaking at the DAMA New York Chapter on November 20, 2014.
Splice Machine is excited to start the New Year off with some exciting news; we’ve been named a "Big Data" Trailblazers finalist in the second annual Tech Trailblazers awards! To show your support, we'd love for you to check out the Tech Trailblazers awards for Big Data and if you feel so compelled, vote for Splice Machine before the contest ends on January 22! As a thank you for checking us out (because you’re awesome)...
Happy New Year! We at Splice Machine hope that you enjoyed the holiday season. It’s a new year and with it comes some exciting news. Splice Machine has been shortlisted as a Big Data finalist in the 2014 Tech Trailblazer Awards! The awards highlight promising tech startups and 2014 has seen an 18 percent increase in the number of entrants. Finalists are drawn from a variety of countries including Argentina, Belgium, Iceland, India, Ireland, Kenya,...
Recently, the CMO Council released a study entitled Applying Timely, Targeted and Tailored Insight to Improve the Pipeline. The Study revealed that only 9% of North American marketing executives interviewed felt their company had a competency in real-time delivery of sales intelligence and breaking news. The problem? For all the talk about Big Data and real-time information, sales and marketing organizations are not getting real-time customer information. In other words, 9 out of every 10...
We’re excited to announce that we have partnered with MapR Technologies, the leader in Hadoop technology for Big Data deployments. This partnership brings our SQL-on-Hadoop database to MapR’s enterprise Hadoop platform, enabling companies to use MapR to build their real-time Hadoop applications. We are strategic about who we choose to partner with. MapR provides a strong foundation for our customers, thanks to their enterprise-grade functionality, proven results with massive datasets and built-in security. In turn,...
As the makers of a SQL-on-Hadoop database, it will come as no surprise that the Splice Machine team is a big fan of SQL. Sure, SQL has its idiosyncrasies but we believe that SQL will continue to be the go-to query language for relational database management systems, even as databases grow past gigabytes into terabytes and petabytes of data (which we can help with…). Why do we feel this way? We can summarize our loyalty...
It’s been a month since we announced our Limited Release program asking for 50 evaluators. We have a very strong response by companies interested in trying our real-time transactional SQL-on-Hadoop database. A lot of movement has taken place around Splice Machine and we’re happy to fill you on what you may have missed: We had a very successful Strata Conference + Hadoop World. Our CEO Monte Zweben, along with our executive team, connected with some...
The results are in! We have been busy testing Splice Machine with our charter customers as a replacement for their Oracle, MySQL or PostgreSQL databases. Initial results have shown a 10x increase in price/performance, through a 30-50% decrease in response times on significantly less expensive hardware. We’re thrilled with the results and plan to do research to see how well Splice Machine stacks up with more companies. That’s why we are excited to extend our...
Big news out of Splice Machine HQ! We are pleased to present the new and improved Splice Machine website, www.splicemachine.com! In addition to readying our Limited Release program, we’ve been hard at work updating our website. As a result, you’ll find more in-depth information on Splice Machine’s product, services and applications as well as an amped up newsroom. We’re also unveiling new messaging that reflects our perspective on how Splice Machine fits in the Big...
DataWeek is just around the corner and we can’t wait to spend some quality time with our Big Data peers in San Francisco. But we’re doing way more than just networking! Splice Machine is involved in a number of exciting presentations and events, so we wanted to break down where we’ll be and when, so we can be sure to get the opportunity to meet with each and every one of you! September 27 Data...
DataWeek has named Splice Machine the winner of the 2013 Top Innovator for SQL Technologies award. We’d like to send out a big thank you to those who voted and the DataWeek team for recognizing our innovation in the Big Data space! Splice Machine is the only real-time SQL-on-Hadoop database, and we believe that SQL will continue to be a go-to programming language for years to come. This is perfect timing, as Splice Machine will...
Heads up all data scientists, engineers, executives and innovators, Splice Machine is heading to DataWeek 2013 Conference + Festival, the 6-day data-centric event in San Francisco from September 28 - October 3! We’ll provide more details on our involvement closer to the event, but we wanted to spread the news early that we’ll be in full force at DataWeek, exhibiting and speaking twice (yes, twice!), as well as co-sponsoring Data Hacker Demo Day with pariSoma...
A refrigerator that tells you when you’re out of milk. Plants that can “ask” for water when they need it. Glucose meters that can send information to your doctor. Equipment that will notify operators proactively about maintenance needs. Activity tracking wristbands that continuously collect data to create the “quantified self” Airplanes that generate a half a terabyte of data per flight and tell mechanics in the destination city of problems or parts needed while still...
When building web, desktop or mobile apps, the ability to update massive databases in real-time versus waiting for batch ETL processes to run can be a powerful differentiator. With real-time updates, consumer marketers can increase margins with personalization engines that optimize messages and offers, financial institutions can reduce losses with faster fraud detection systems and hospitals can reduce costly readmissions by detecting complications faster in electronic medical records. Streaming data from machine logs, devices, and...
Are you going to HBaseCon on Thursday at the San Francisco Marquis? Members of the Splice Machine team will be there as well, attending sessions and talking with other HBase developers. In advance of the conference, we wanted to know what sessions are you most interested in attending? At Splice, we’re looking forward to hearing the use cases from companies like eBay, Pinterest and Facebook that are pushing the boundaries of HBase in production environments....
Our CEO, Monte Zweben, recently penned an article on "Harnessing the Power of Big Data to Reverse Retail Fortunes," that has been published by Datanami. In the article, we take a look at how technology has and will continue to play an important role in monitoring, mapping and molding consumer behaviors, and determining where companies can best harness the wealth of data at their fingertips. Please check out our article on retail and Big Data...
Members of the Splice Machine team will be at HBaseCon at the San Francisco Marriott Marquis on Thursday, June 13, 2013. We’ll be attending sessions and talking with other HBase developers and users. We’re big believers in the power of HBase and we leverage and extend it in our Splice SQL Engine™. If you’d like to schedule some time to talk with the Splice Machine team at HBaseCon, drop us a note so we can...
At the Strata Conference in February, EMC Greenplum and Intel debuted their own Hadoop distributions. That makes six major Hadoop distributions, when you include Cloudera, MapR, Hortonworks and IBM. While this certainly hints that Big Data is beginning to hit its stride, there’s been some debate around proprietary distributions of Hadoop and how successful they will be in the long term. Because the Splice SQL Engine is built on the Hadoop stack, we thought we’d...
As a growing organization in a growing industry, Splice Machine continues to expand our executive team. As such, we’re pleased to announce (and welcome!) Eric Kalabacos, as our new Vice President of Customer Solutions. In his role, Eric has overall responsibility to ensure customers can successfully deploy Splice Machine technology. He is building a team of experienced consultants that will go on-site with customers to support the Splice SQL Engine, as well as related technologies...
We’re proud to announce that Splice Machine was included, along with 24 other data management companies, in CRN Magazine’s inaugural Big Data 100 list. CRN has identified 25 vendors that have demonstrated an ability to innovate in bringing to market products and services that help businesses manage big data. The list consists of 3 categories: business analytics, data management, and infrastructure and services – with Splice Machine included within the data management category. Now more...
After our success at the Strata Conference in Santa Clara, we are thrilled to announce our attendance at the upcoming Big Data Innovation Summit in San Francisco. The event takes place April 11-12 and will feature 80+ Industry Speakers and 1000+ attendees, all leading Big Data initiatives. The Splice Machine team, including Rich Reimer, Vice President of Marketing and Product Management, will be on hand at Booth G4 in the Grand Ballroom ready to discuss...
Recently, Splice Machine took second place from the judges of Strata’s Startup Showcase event at the O’Reilly Strata Conference in Santa Clara. Although it felt great to be recognized by industry leaders, we quickly got back to work on the Splice SQL Engine™. We learned a lot at Strata and wanted to share with you some takeaways from our team members who attended the show. What was your favorite part of Strata? My favorite part...
Recently, the Information Technology Entrepreneur Network (ITEN), an initiative of Innovate St. Louis, a catalyst for the entrepreneurial ecosystem in St. Louis, released a list, called ITEN Fast Ten, which includes companies founded within the last two years that are showing "promise of becoming drivers of future economic development." We’re proud to announce that Splice Machine topped their list! You may be wondering, isn’t Splice Machine located in San Francisco? We actually have our corporate...
If you’re an avid reader of this blog or follow Splice Machine on Twitter, you’ll remember that a few days ago, we announced that we were chosen to partake in Strata’s Startup Showcase event at the O’Reilly Strata Conference in Santa Clara. The event happened last night and we’re proud to announce that Splice Machine placed in second! Here’s the nitty-gritty. The O’Reilly Strata team chose 11 Big Data startups to participate in this year’s...
The O’Reilly Strata Conference in Santa Clara is fast approaching and we are gearing up for a very successful event! First and foremost, we recently found out that we were chosen as one of 11 companies to participate in the Startup Showcase on Tuesday, February 26th! Please join us in the Mission City Ballroom starting at 6pm to see Splice Machine (and 10 other industry startups) demonstrate our respective technologies and vie to be one...
The first few months of the year bring many things – the Super Bowl, The Academy Awards, and of course, The Grammy Awards. With music’s big night just around the corner, it’s interesting to reflect on the role Big Data is playing in the evolution of music intelligence. Over two decades ago, the popularity of music was based mainly on CD sales, radio airplay and concert box offices. Then, in the early nineties, we were...
Growing up in Queens, NY, I had no choice but to be a Jets fan. Then attending Carnegie Mellon in Pittsburgh -- a truly football crazed town, I had no choice but to adopt the Steelers. Fast forward a few decades, and while a Jets Super Bowl has not materialized since the glory days of Joe Namath, and while the Steelers regroup, I’m psyched to cheer on the San Francisco 49ers against the Baltimore Ravens...
Our calendar is chock full of exciting events for 2013, and we are kicking it off in a big way by attending the O’Reilly Strata Conference in Santa Clara, February 26-28th, as part of its Innovator’s Pavilion! The Strata Conference is, without a doubt, one of the most impactful events in our industry and being a part of the Innovator’s Pavilion is an added honor and bonus for the Splice Machine team. Strata brings together...
With 57 million shoppers visiting online retailer sites on Black Friday this past November, there is a vast amount of data being generated with every click of the mouse. Every time a website serves up a recommended item, it’s dipping into the data pool for the perfect complement (calculated yesterday) to what you (or someone like you) have browsed, previously purchased or left behind in your online cart. This is the precursor to Big Data....
Recently, we sat down with Matt Aslett, research manager for 451 Research, to give him the scoop on Splice Machine and our plans to develop the Splice SQL Engine and utilize the Hadoop stack. Matt has great insight into the Big Data space and we were excited to see his thoughts on our approach. There were two key takeaways. We are a “seasoned management team” with success building enterprise software products and companies, which “can't...
The Big Data world is growing and changing everyday. We’re looking for the best and brightest engineering talent to join Splice Machine as part of our expanding team here in San Francisco. At Splice Machine, we are tackling the hardest problems in distributed computing and computer science by extending technologies initially conceived at Google and Facebook and making them available to the masses. Your mission will be to build the platforms to power the next...
To kick off 2013, we are proud to announce the launch of our blog. This blog is yet another way for us to interact with the Big Data community and keep Splice Machine followers up-to-date on the latest announcements, events and product-related news coming from us. It will also serve as a forum for us to discuss the latest industry news, trends, challenges and, of course, growth. In addition to the ability to comment on...