Continuously monitor real-time event streams to detect anomalies or breaches within sub-seconds, and trigger instant alerts to any notification service.

Extract real-time insights from event streams and handle millions of concurrent queries with single-digit millisecond latency. Securely store historical data in low-cost tiered storage.

Develop scalable real-time data pipelines using SQL. Seamlessly ingest data from numerous sources, leveraging efficient multi-way joins, automatic schema evolution, and out-of-order processing capabilities.

Transform real-time events into AI features. Store, serve, and share features within a unified system, and inspect historical versions of the features at any previous time point.