Databricks Release Notes

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.

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.

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

See Genie Code scheduled tasks.

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.

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.

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 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.

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.

Google Gemini 2.5 Pro 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.

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.

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.

• Text file uploads: You can now upload plaintext (.txt) files to a Genie One conversation, in addition to the other supported file types. See Upload a file.
• Streaming responses: Genie One now streams responses in real time as they're generated, so answers appear progressively instead of loading all at the same time.
• Download a chat: You can now download a Genie One chat. See Manage chats in the sidebar.
• Personalized sample questions: Personalized sample questions now appear beneath the search bar on the Genie One homepage.

Cross-engine attribute-based access controls (ABAC) is now generally available. Supported external engines can read Unity Catalog managed tables with ABAC policies, row filters, and column masks enforced by Databricks serverless compute.

See Cross-engine attribute-based access controls (ABAC) for requirements, supported clients, and serverless compute costs.

You can now schedule automatic refreshes of Databricks data imported into Microsoft Excel. Choose an interval or calendar schedule and the SQL warehouse that runs each refresh, then review recent runs from the Databricks Excel Add-in. See Schedule automatic data refresh in the Databricks Excel Add-in.

The following supported Postgres extensions are now available at newer versions. Existing installations keep their current version until you update them with ALTER EXTENSION.

• postgis, postgis_raster, postgis_sfcgal, postgis_tiger_geocoder, postgis_topology, address_standardizer, and address_standardizer_data_us: updated to 3.3.10 on Postgres 16, 3.5.7 on Postgres 17, and 3.6.4 on Postgres 18.
• hll: updated to 2.21 on Postgres 16, 17, and 18.

See Update an extension version.

Query tags are now generally available. You can apply custom key-value tags to SQL workloads for grouping, filtering, and cost attribution on Databricks SQL warehouses and Lakehouse//RT compute. Tags appear in system.query.history and on the Query History page of the Databricks UI. See Query tags.

Excel and Google Sheets writeback now requires a workspace admin to enable the Allow spreadsheet writeback security setting. See Write data back to Databricks using the Databricks Excel Add-in and Write data back to Databricks from Google Sheets.

Lakeflow Jobs table update triggers can monitor OpenSharing objects and system tables. See Add a trigger to OpenSharing and system tables.

The Salesforce Data 360 file sharing connector (formerly Salesforce Data Cloud file sharing) will be available by default for workspaces with the compliance security profile enabled.

Use the connector in Lakehouse Federation to query Salesforce Data 360 data directly from cloud object storage without copying it into Databricks. Queries run on Databricks compute.

See Lakehouse Federation for Salesforce Data 360 File Sharing.