November 2025

These features and Azure Databricks platform improvements were released in November 2025.

Note

The release date and content listed below only corresponds to actual deployment of the Azure Public Cloud in most case.

It provide the evolution history of Azure Databricks service on Azure Public Cloud for your reference that may not be consistent with the actual deployment on Azure operated by 21Vianet.

Note

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

Migrate Community Edition workspaces to Free Edition (Public Preview)

November 7, 2025

The migration tool for migrating Community Edition workspaces to Free Edition is now available.

SAP BDC connector for Azure Databricks supports cross-cloud sharing

November 6, 2025

You can now share data between different cloud environments using the SAP Business Data Cloud (BDC) Connector for Azure Databricks.

See Share data between SAP Business Data Cloud (BDC) and Azure Databricks.

List MCP servers in Azure Databricks Marketplace (Public Preview)

November 6, 2025

Azure Databricks Marketplace now supports listing Model Context Protocol (MCP) servers. Providers can list MCP servers to distribute AI tools and other Azure Databricks users can install MCP servers from Marketplace to connect AI agents to external data sources, SaaS tools, and developer APIs.

New MCP server tab

November 6, 2025

The new MCP Servers tab in the workspace shows your managed and external MCP servers, and a curated list of MCP servers available to install from Azure Databricks Marketplace.

November 5, 2025

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>. See Use tags to search for tables.

Databricks Runtime maintenance updates

November 4, 2025

New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see Databricks Runtime maintenance updates.

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

November 3, 2025

Attribute-based access control (ABAC) is now in Public 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 Public Preview, ABAC includes two key changes from the Beta:

  • 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

Actions related to access request destinations (Public Preview) are now emitted in the audit logs. For more details, see Request for access events.

Disable DBFS root and mounts workspace setting is GA

November 3, 2025

The workspace setting that allows workspace admins to disable access to the Databricks Filesystem (DBFS) root and mounts in existing Azure Databricks workspaces is now generally available. See Disable access to DBFS root and mounts in your existing Azure Databricks workspace.

JAR tasks are now supported on serverless compute

November 3, 2025

You can now run JAR jobs on serverless compute. See JAR task for jobs.