Easy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes.
Includes IBM Data Science Experience, which enables you to collaboratively analyze data. Or you can use existing Jupyter Notebooks and bring data scientists to your organization’s data.
Enables you to train, persist and score machine learning models on the system where the data resides to increase performance.
Uses data virtualization to support shared components, skills and capabilities, and connect to any type of data in any location.
Provides a common SQL engine. Seamlessly migrates workloads to the cloud based on your requirements, without the need for application rewrites.