Db2: A Classic Database Not Suited for Modern Apps
Cloud Migration Considerations
In-Database Machine Learning
ML MANAGER: KEY BENEFITS
Support for Jupyter Notebooks: In Splice Machine 3.0 Jupyter notebooks are the standard. Splice Machine’s native Jupyter support comes with JupyterHub as well as BeakerX
Industry-Leading Libraries (Coming Soon): Access to the H2O Libraries, including deep learning TensorFlow integration, GLM, GBM, XGBoost, and AutoML
Ease of Use Across the Entire Product: Access to Apache Spark’s ML library, including algorithms, featurization, pipelines, persistence and utilities
Rapid Experimentation: MLflow to manage the experiments and model runs based on key parameters, versions and metrics
Seamless Deployment: MLflow packages models into Docker images, which are then deployable directly via Sagemaker for implementation
Superior Performance: Direct API between Splice Machine tables and Spark Data Frames for high performance
Take a look at ML Manager in this quick demo hosted by Ben Epstein, Machine Learning Engineer for Splice Machine, and click the button to access a full video demo.
Splice Machine: A Proven Replacement for Db2 that Delivers Lower Costs, Scale Out and Intelligence
Splice Machine is a scalable SQL database that enables companies to modernize their legacy and custom applications to be agile, data-rich, and intelligent – all without re-writes. Splice Machine not only reduces database licensing costs but also enables the applications to add new data sources at a massive scale. Splice Machine enables enterprises to unify analytics and machine learning that used to be on separate platforms to be native to the application thereby reducing ETL latency and infrastructure costs.
Why Splice Machine Is Best for Powering Db2 Applications
Customer Example: Global Payments Processor
- For a global payments processing company, Splice Machine migrated the existing SQL dispute resolution application from Db2 to Splice platform enabling millisecond queries on petabytes of payment history and live, up to the second streaming data.
- Splice Machine’s platform resulted in vastly improved customer service and a new system that can scale out to meet future business needs.
Customer Example: Leading Insurance Company
- A leading insurance company migrated its global claim, client, & policy applications from an on-premise Db2 environment to the Splice Machine platform in the Cloud. On Db2, it took too long to open up a new operating entity due to data center build-outs and the company was not able to use AI/ML models in real-time application.
- With Splice Machine, the insurance company will be able to expand into new geographical markets in record time without cloud vendor-lock-in and will be able to take intelligent predictive actions to lower fraud, AML, and litigation.