Data and AI releases

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LTAP Direct Writes accelerates synced table loads (Beta)

BetaVerified

LTAP Direct Writes speeds up how synced tables load into Lakebase. When you create a synced table, Lakebase loads a full copy of your Unity Catalog data into your Postgres branch.

GovernancePostgresObservabilityPerformance

Read on docs.databricks.com

Also shipped Aug 25, 2026Databricks in August 2026 →

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Postgres minor version updates

Lakebase updated its supported Postgres versions to 16.15, 17.11, and 18.6. These minor releases bring you the latest upstream Postgres fixes and security patches. When a new minor version is available, Lakebase applies it the next time your compute restarts. See Manage updates .

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Genie Code is now available in the Lakebase project UI

A new Genie entry in the Lakebase project sidebar opens Genie Code, the agentic Databricks assistant, scoped to your Lakebase project. Ask it in natural language to run multi-step data and AI tasks: explore your databases and tables, investigate and debug issues, and create and populate tables.

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Lakebase Postgres APIs are now generally available

Programmatic management of Lakebase Postgres is now generally available through the REST API, Databricks CLI, and Databricks SDKs (Python, Java, Go). These interfaces support operations for projects, branches, endpoints, databases, roles, credentials, synced tables, and catalogs. See Lakebase API guide .

GA
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Lakebase now supports PCI-DSS and HITRUST

Lakebase is now PCI-DSS and HITRUST compliant for workspaces with the compliance security profile enabled. On AWS, this support is limited to the us-east-1 region. On Azure, all regions where Lakebase is available are supported. See Data protection .

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Lakebase snapshots API (Beta)

You can now manage Lakebase snapshots programmatically. The snapshots API lets you create, get, list, and delete point-in-time snapshots of a project branch, and restore a snapshot by creating a new branch from it. This API is in Beta. See Create a snapshot .

Beta
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Lakebase Search is generally available

Lakebase Search is now generally available. It brings scalable vector and keyword search to Lakebase projects through two Postgres extensions, so you can run semantic and exact-term search in a single database without a separate search stack: lakebase_vector adds the lakebase_ann index type for approximate nearest-neighbor vector search.

GA
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