Integrations
Beta
As of June 15, Lakebase is available in Beta on GCP. See Region availability for supported regions.
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.
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- Register database in Unity Catalog
- Register your Lakebase database in Unity Catalog for unified governance and cross-source queries.
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- Sync tables
- Sync Unity Catalog table data into Lakebase to serve it to applications at low latency.
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- 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.
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- Feature Store and Model Serving
- Serve ML features at low latency from Lakebase for models deployed with Databricks Model Serving.