New Whitepaper: The Scale-Out Database Guide: When to use NoSQL vs. NewSQL
July 17, 2015
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 Big Data market recently regarding scale-out technologies, and it can be difficult to choose the right database for your application.
To cut through the static, we will discuss two broad categories of scale-out, operational databases:
- NoSQL or “Not only SQL” refers to any database that stores and models in a format other than relational tables1. These databases have become popular because they cost-effectively scale out on commodity hardware or handle a greater variety of data formats (e.g., hierarchical, graph). Two of the leading NoSQL databases–MongoDB and Cassandra–will be evaluated in further detail.
- NewSQL refers to new scale-out architectures built with standard SQL that form a class of modern relational database management systems (RDBMSs) that seek to provide the scalability of NoSQL systems for operational workloads while remaining ACID compliant2. Some NewSQL solutions are proprietary, while others leverage the open Hadoop ecosystem. Two emerging NewSQL databases–NuoDB and Splice Machine–will be discussed more extensively.Evaluated in this guide are common databases, MongoDB, Cassandra, NuoDB and Splice Machine.
This guide compares common NoSQL and NewSQL databases for:
- What they are best used for
- What is best to avoid
Splice Machine invites you to download this guide to learn how to cut through the static and learn how to choose the best database for your business: NoSQL or NewSQL Download Now
Looking to learn more about NoSQL and NewSQL? Attend the NoSQL vs NewSQL webinar with database pioneer Marie Anne Neimat on Tuesday, July 21, 2015. Find out more