DatabasePostgres for data apps and AI agents

LAKEBASE

The operational database for AI agents and apps

Postgres integrated with the lakehouse, built for modern operational workloads.

Databricks dashboard monitoring resource usage.

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OLTP for the lakehouse

Lakebase eliminates complex, custom ETL pipelines and ensures transactional data is integrated into analytics and AI-driven applications. 

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Fully managed Postgres

Avoid development delays by using familiar, open source Postgres with existing libraries, frameworks and SQL.

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Built for modern DevOps

Decoupled compute and storage for independent scaling. Recover data easily with point-in-time recovery.

Compute dynamically adjusts to your workload and scales to zero when idle — no manual tuning required. Pay only for what you use.

Version your database like code. Create instant branches for development or testing, then reset to production data at any time without impacting live workloads.

Automated database snapshots for backup and precise point-in-time recovery. Validate restores in an isolated branch before applying changes to production.

Your operational database, connected to your lakehouse. Unity Catalog governance, one-click data sync and a SQL editor with built-in psql shortcuts.

Build secure real-time applications powered by Lakebase and deploy them instantly with Databricks Apps.

More features

Postgres Extensions

Lakebase supports extensions like PostGIS and pgvector.

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Postgres Ecosystem

Use tools like pgAdmin, DBeaver, PSQL and more.

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PostgREST API

Use PostgREST API for querying Lakebase.

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Workspace Integration

Use the Postgres query editor and schema browsing with support for psql commands inside the Databricks Platform.

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Read Replicas

Scale read performance without duplicating data or managing replication.

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Sync From Delta Lake

Synchronization from Delta tables to a Postgres table with optional secondary indexes.

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Unity Catalog

Register Lakebase as a catalog in Unity Catalog and use Lakehouse Federation.

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Integrated Identity

Use your existing Databricks identity and authorization.

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Graphic showing an arrow from Lakehouse to Lakebase with labels for personalized recommendations, customer segmentation, and feature store.

Serve lakehouse data with low latency and high concurrency

Skip the complex export pipelines and sync with a few clicks.

Deliver analytical insights directly into apps, dashboards and workflows. Enable personalized recommendations, customer segmentation, feature stores and more.

Explore Lakebase demos

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