Problems that solves
Aging IT infrastructure
High costs of routine operations
Low bandwidth data channels
Values
Reduce Costs
Ensure Security and Business Continuity
Reduce Production Timelines
Support Decision Making
About Product
Description
High-performance analytics
Easy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes.
Connects data scientists to the data
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.
Machine learning
Enables you to train, persist and score machine learning models on the system where the data resides to increase performance.
Data interoperability
Uses data virtualization to support shared components, skills and capabilities, and connect to any type of data in any location.
Cloud-ready
Provides a common SQL engine. Seamlessly migrates workloads to the cloud based on your requirements, without the need for application rewrites.
Key features
- Built-in tools for data scientists
- Embedded Spark processing with machine learning
- Common SQL engine
- Cloud-ready with scalable deployment
- High-speed architecture
- Easy to manage and maintain
