Built for a Hybrid
Multi-Cloud World
Flexibility and portability facilitate deployment anywhere, including public clouds (AWS, Azure, GCP) and on-premises, while avoiding lock-in to any single cloud or architectural choice.
Separation of Compute and
Storage with Elastic Scaling
This modern capability cost-effectively supports the demands of both data and users without excess, unused capacity, while enabling self-service scale/up/down/in/out and start/stop without IT intervention.
Integration with First
Party Cloud Services
The ability to natively integrate with cloud services accelerates solution deployment. A modern platform integrates with services across Amazon Web Services (AWS), Microsoft Azure, and/or Google.
Ingestion of Modern
Data Sources
Data types and data sources are multiplying—clickstreams, social media feeds, digital twins, and IoT—based sensor data. Harnessing all this information for a complete picture of the business is now table stakes.
Integrated Data Management
and Scalable Analytics
Unifying analytics and data management enables data exploration, modeling, and scoring at scale in a single, easy-to-use environment. It also offers the critical flexibility to implement complex algorithms with languages you already use.
Dynamic Resource Allocation
and Workload Management
Demand on resources is dynamic and changes happen at the speed of thought. A modern platform must optimize those resources and workloads aligned to business priorities with ‘set-it-and-forget it’ controls.