Streaming analytics and machine learning predictive analytics are required in any data-driven business, but they remain complex to integrate, difficult to operationalize, and expensive throughout.
- Slow data processing
- Inaccurate results
- Inability to scale
- Difficulties and expense operationalizing ML
- Complex integrations necessary in order to support real-time analytics
The Kinetica Streaming Data Warehouse delivers reliable analysis, long-term scalability, and fast results, while limiting ML operational expense.
- Real-time streaming analytics via GPU & CPU
- Enhanced context incorporating historical batch data, streaming, location, and ML predictive data for greater accuracy
- Massive petabyte scale
- Achieving ML at scale in production as part of single platform total cost of ownership
- Single unified platform