Redpanda SQL: One Engine for the Infinite Stream
The AI era demands broad and deep context windows, but modern data architectures are often split in two. Your live data lives in streams, while your historical context is over in a data lake. Redpanda SQL is here to end this tech stack switching and ETL.
In this on-demand tech talk, Redpanda's product and engineering leaders take you inside Redpanda SQL — now generally available. Powered by our acquisition of Oxla, this high-performance, Postgres API-compatible SQL query engine eliminates the disconnect between streaming and historical data. We built it for the workloads you need most: the ability to use a single SQL query to join live Redpanda streams with historical Iceberg data.
Watch to see how Redpanda SQL's unified query layer simplifies your stack, minimizes compute usage, reduces integration debt, and works with the governed access layer required for the next generation of AI agents that thrive on fresh, structured data.
What You'll Learn:
- Beyond the Buffer: Why querying the "Infinite Stream" is the new standard for boundless AI context.
- Unified Intelligence: How to JOIN live streaming topics with historical Iceberg data in one platform.
- Zero-Movement Efficiency: The ROI of leaving data in place instead of wasting time on complex ETL or running 'split-brain' workloads that span real-time and historical data.
- Governed Agent Access: How to simplify security by governing access to streaming and lakehouse data with unified identity, using a single SQL GRANT RBAC model.
- Live Demo: See Redpanda SQL in action.
