BrickTalks: Serve intelligence from your Lakehouse to your Apps with Lakebase

In this BrickTalks session, Databricks Product Manager Pranav Aurora, founder of Mooncake, will cover: Using Lakebase (PostgreSQL-compatible, serverless OLTP built for the lakehouse) to serve applications with ultra-low latency requirements. One-click sync of Lakehouse tables into Lakebase. It just works – without the operational overhead. Sync Postgres tables back into the Lakehouse for downstream analytics. You’ll walk away with a practical mental model of a modern data-architecture loop: lakehouse → Lakebase → Lakehouse. You’ll see how the combination cuts latency, simplifies infrastructure, and keeps governance strong. Fully managed sync – no external tools, permissioning. It just works out of the box. You’ll leave inspired to build the next-gen operational data platform (yes, you’re up to this). About BrickTalks BrickTalks are monthly, expert-led sessions hosted by the Databricks Community team. Each event spotlights real-world innovation from Databricks specialists, helping you stay at the forefront of data and AI. Don’t miss this chance to learn directly from the PM leading the charge, ask your questions live, and see what’s coming next in Databricks.