Stream and Query in Real-Time

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Stream and Query in Real-Time

Turn Kafka Streams Into Instantly Queryable Data. No ETL, No Delay

Traditional streaming stacks make you wait: events flow in, then get processed, transformed, and loaded before they're usable. The VAST Event Broker, a Kafka API-compatible broker built into the VAST AI Operating System,closes that gap. Every topic is automatically stored as a live, queryable table in the VAST DataBase, so there's no broker cluster, staging layer, or ETL pipeline between your streams and your SQL queries. It’s also the foundation for a real-time event-based architecture, letting you build, trigger, and orchestrate real-time AI and analytics pipelines in a single platform.

What you'll learn

Why traditional streaming stacks delay insight and how VAST removes the cluster sprawl and bolt-on tools required to fix it
How to make event streams SQL-queryable without ETL, querying live topics directly via Trino, Spark, or the VAST DataBase SDK
How real-time and historical data can be queried together in one platform, with no separate warehouse or reconciliation
How to build a real-time eventing architecture that automates AI and analytics pipelines

Download the white paper