Integrations

Connect Lakebase to the rest of Databricks: register databases in Unity Catalog for governance, serve lakehouse data through Postgres for low-latency reads, feed Postgres changes back to the lakehouse, and use Lakebase as a backend for AI agents, feature serving, and search. For the architecture behind these integrations, see LTAP architecture.

• • Register database in Unity Catalog
  • Register your Lakebase database in Unity Catalog for unified governance and cross-source queries.
• • Sync tables
  • Sync Unity Catalog table data into Lakebase to serve it to applications at low latency.
• • Lakebase Change Data Feed
  • Store row-level changes from Lakebase Postgres tables as Unity Catalog Delta tables for downstream pipelines, audit, and external consumers.
• • Agent state and memory
  • Persist agent state and memory in Lakebase so AI agents built with LangGraph or the OpenAI Agents SDK retain context across sessions.
• • Feature Store and Model Serving
  • Serve ML features at low latency from Lakebase for models deployed with Databricks Model Serving.
• • Lakebase Search
  • Add hybrid vector and keyword search to your project using the lakebase_vector and lakebase_text extensions.

Additional resources

• LTAP architecture
• Connect to your database
• Query your data