Databricks Release Notes

The managed Google Workspace connector is now available in Beta in Databricks Lakeflow Connect.

Use the connector to ingest audit activity from Google Workspace applications and services into Databricks. The connector uses OAuth user authorization and supports incremental ingestion.

Window measures in metric views are now generally available.

Window measures define rolling window, cumulative, or semiadditive aggregations, such as moving averages, period-over-period changes, and running totals.

See Window measures.

GLM 5.2 is now a legacy model. Databricks recommends migrating to GLM 5.3 or GLM 5.3 Flash.

Genie Code CLI is a coding agent that runs in your terminal, tuned for data and AI work on Databricks. It works with your local files and uses the Databricks CLI to discover data, answer questions, and build and deploy assets such as pipelines, models, and apps. Model access is provided and governed through Unity Gateway. See Genie Code CLI.

Databricks SQL version 2026.39 is rolling out to the Current channel.

Lakeflow Jobs can now use up to five triggers. You can combine trigger types, add multiple triggers of the same type, and pause each trigger independently. See Add multiple triggers to a job.

Genie Code scheduled tasks are now available by default for workspaces with the compliance security profile enabled.

See Genie Code scheduled tasks.

The Databricks Connector for Google Sheets now lets you save imports as a reusable template that you and your team can run in one step, each with your own Unity Catalog permissions.

See Templates in Google Sheets and Query Databricks data in Google Sheets.

Google Gemini 2.5 Flash is no longer available. The recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.

You can now use a customer-managed key on the system catalog to decrypt statement_text and error_message in the query history system table. See Reading encrypted fields.

OpenJev (Qwen3.5 4B) is available as a pay-per-token model service. Use the TypeSafe System One API to evaluate yes or no, choice, and scoring questions and get structured answers and probabilities. See model availability by region.

Customers are responsible for ensuring their compliance with applicable model terms.

JDBC Unity Catalog connections are now generally available on serverless compute, Databricks Runtime 19 and above, and SQL warehouses 2025.40 and above, including support for SSL certificates.

OAuth M2M authentication remains in Beta.

See JDBC connection.

The standard (default) mode for ai_extract now uses a new model checkpoint that is 2.3x faster while improving overall quality at no additional cost.

See the ai_extract documentation.

You can now set a pipeline's run-as identity to an account group, in addition to a user or a service principal. Pipeline updates run with the group's permissions, so a team can own an automated pipeline without tying it to one person's account. See Set the run-as identity to a group.

The managed GitLab connector is now available in Lakeflow Connect in Beta. Workspace admins can control access to this feature from the Previews page.

Use the connector to ingest repository, project, group, CI/CD, and security data from GitLab into Databricks. The connector uses OAuth U2M authentication and supports incremental ingestion, UI-based pipeline authoring, Declarative Automation Bundles, and API-based pipeline authoring.