Nóta
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað aðskrá þig inn eða breyta skráasöfnum.
Aðgangur að þessari síðu krefst heimildar. Þú getur prófað að breyta skráasöfnum.
Important
Lakebase Autoscaling is the latest version of Lakebase, with autoscaling compute, scale-to-zero, branching, and instant restore. For supported regions, see Region availability. If you are a Lakebase Provisioned user, see Lakebase Provisioned.
Lakebase Postgres integrates with other Databricks services, enabling you to combine transactional database capabilities with the Databricks lakehouse platform and AI tools.
Data integrations
Move and expose data between Lakebase and the rest of the lakehouse.
| Integration | Description |
|---|---|
| Register database in Unity Catalog | Register your Lakebase database in Unity Catalog for unified governance and cross-source queries. |
| Serve data with synced tables | Serve lakehouse data through your Lakebase database, keeping it up-to-date with lakehouse insights for low-latency applications. |
| Lakehouse Sync | Sync Lakebase Postgres tables to Unity Catalog Delta tables with continuous CDC for analytics and history. |
AI and ML
Use Lakebase as a backend for AI agents and machine learning workloads.
| Integration | Description |
|---|---|
| Agent state and memory | Store durable short-term and long-term agent memory in Lakebase for AI agents built with LangGraph or the OpenAI Agents SDK. |
| Feature Store and Model Serving | Use Lakebase as a low-latency online feature store backend for ML models served with Model Serving. |