databricks-lakebase-provisioned

Managed PostgreSQL OLTP for Databricks provides transactional storage for stateful apps, reverse ETL pipelines, and LangChain memory persistence within the Lakehouse. It simplifies transactional data persistence while integrating with Unity Catalog for governance.

You authenticate to a Databricks managed PostgreSQL instance using secure OAuth token-based authentication. This method integrates directly with your workspace to govern access alongside your existing Unity Catalog data permissions.

Yes, you can use managed PostgreSQL for reverse ETL pipelines in Databricks. Lakebase Provisioned serves as a reliable transactional target to push processed Lakehouse data back to operational systems and applications.

Lakebase Provisioned works with Databricks Apps to provide persistent state storage. It supports LangChain memory integration, allowing AI workflows to maintain reliable conversational context and application state transactionally.

The best way to govern transactional data in a Databricks Lakehouse is using Lakebase Provisioned with Unity Catalog integration. It applies consistent governance and secure access controls to your managed PostgreSQL OLTP workloads.

You need provisioned PostgreSQL instead of standard Lakehouse storage when building transactional apps requiring strict OLTP workloads. It is necessary for high-frequency state updates, reverse ETL operational targets, and persistent AI memory.