Company Performance Metrics

- Milind Bhandarkar: Founder, CTO & CEO
- Steve Huber: Chief Revenue Officer
Ampool is on a mission to enable real-time data-intensive applications and to reduce time to actionable insights through a distributed, memory-centric active data store. In the last decade, Hadoop and NoSQL data stores have deconstructed the database, separating persistence, metadata management, query engines, resource scheduling, cluster
management, and monitoring. In a similar way, Ampool aims to democratize in-memory multi-modal analytical processing, paving way to a unified real-time analytics platform. Ampool Active Data Store is designed to support stream ingestion and analytics, analytical/batch processing, transactions, and interactive/ad-hoc queries, all from a single memory-centric store. Powered by Apache Geodeā¢, it offers low overhead, lightning fast, in-memory performance for data-driven applications without compromising on reliability and availability.
