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November 2025 platform release notes

These features and SAP Databricks platform improvements were released in November 2025. The cloud the release applies to is indicated for each release note.

note

Releases are staged. Your SAP Databricks account might not be updated until a week or more after the initial release date.

Anthropic Claude Opus 4.5 now available as a Databricks-hosted model​

November 24, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Mosaic AI Model Serving now supports Anthropic Claude Opus 4.5 as a Databricks-hosted model.

To access this model, use:

  • Foundation Model APIs pay-per-token
  • Batch inference workloads using AI Functions

Real-time collaboration in notebook cells, files, and SQL editor​

November 21, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Real-time collaboration is now available in notebook cells, files, and the new SQL editor. Multiple users can edit the same cell simultaneously and can view each other's edits.

Use Git CLI commands in Git folders​

November 21, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

You can now run standard Git commands directly from the Databricks web terminal in Git folders.

Automatic email notifications for expiring personal access tokens (Preview)​

November 20, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

SAP Databricks now sends automatic email notifications to workspace users approximately 7 days before their personal access tokens expire.

ABAC-secured assets shared using Delta Sharing is in Preview​

November 17, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Applying attribute-based access control (ABAC) policies to tables and schemas shared through Delta Sharing is now in Preview.

November 5, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

The workspace search syntax for searching tables and views by tag has been updated. To search by both tag key and value, use the syntax tag:<tag_key>:<tag_value>. Previously, the syntax was to omit tag: when searching by both key and value. To search by tag key alone, continue using tag:<tag_key>.

JAR tasks are now supported on serverless compute​

November 3, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

You can now run JAR jobs on serverless compute.

Attribute-based access control (ABAC) now in Preview​

November 3, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Attribute-based access control (ABAC) is now in Preview. ABAC is a data governance model that provides flexible, scalable, and centralized access control by defining policies based on governed tags applied to data assets.

In Preview, ABAC includes two key changes:

  • Account-level enforcement: ABAC has transitioned from a workspace-level preview to an account-level preview. ABAC policies are now enforced across all workspaces attached to an account's metastore by default.

  • Automatic type casting for column masks: Databricks now automatically casts the output of column mask functions defined in ABAC policies to match the target column's data type. This ensures consistent typing and more reliable query behavior. Existing column mask functions might fail if their return types are incompatible with the target column's type.

Audit logs for request-for-access events are now emitted​

November 3, 2025 | Applies to: check marked yes AWS check marked yes GCP check marked yes Azure

Actions related to access request destinations (Preview) are now emitted in the audit logs.