July 2025

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

Improvements to the notebook editing experience

July 25, 2025

The following improvements have been made to the notebook editing experience:

• Add a split view to edit notebooks side by side. See Edit notebooks side by side.
• Pressing Cmd + F (Mac) or Ctrl + F (Windows) in a notebook now opens the native Databricks find-and-replace tool. This allows you to quickly search and replace text throughout your entire notebook, including content outside the current viewport. See Find and replace text.
• Quickly switch between tab groups based on authoring contexts using the , , and icons on the top left in the editor. See Switch between authoring contexts.

Expanded region availability for ai_parse_document

July 25, 2025

ai_parse_document is now available in the following regions:

• centralus
• eastus
• eastus2
• northcentralus
• westus
• australiaeast
• brazilsouth
• canadacentral
• centralindia
• eastasia
• francecentral
• germanywestcentral
• japaneast
• koreacentral
• northeurope
• southeastasia
• swedencentral
• switzerlandnorth
• uaenorth
• uksouth
• westeurope

See ai_parse_document function.

New columns available in query history system table

July 24, 2025

New columns are now available in the query history system table, providing additional query insights:

• cache_origin_statement_id: For query results fetched from cache, this field contains the statement ID of the query that originally inserted the result into the cache.
• query_parameters: A struct containing named and positional parameters used in parameterized queries.
• written_rows: The number of rows of persistent data written to cloud object storage.
• written_files: Number of files of persistent data written to cloud object storage.

See Query history system table reference.

Moving tables between Lakeflow Declarative Pipelines pipelines is now GA

July 24, 2025

Tables created by Lakeflow Declarative Pipelines in Unity Catalog ETL pipelines can be moved from one pipeline to another. See Move tables between Lakeflow Declarative Pipelines.

Dynamic partition overwrite with INSERT REPLACE USING (Public Preview)

July 23, 2025

Dynamic partition overwrite with INSERT REPLACE USING is now in Public Preview for Databricks Runtime 16.3. It atomically replaces table rows with query results, matching on the columns listed in the USING clause.

See INSERT in the SQL language reference and Selectively overwrite data with Delta Lake.

Create Dataverse virtual tables from Azure Databricks tables in Power Apps (Public Preview)

July 23, 2025

You can create Dataverse virtual tables using the Azure Databricks connector in Power Apps to access your Azure Databricks data as if it were native Dataverse data.

See Create Dataverse virtual tables with your Azure Databricks data.

Add Azure Databricks connector in Power Platform to a data policy (Public Preview)

July 23, 2025

You can add the Azure Databricks connector to the Business data group of a data policy. Use data policies to manage and secure your data.

See Add Azure Databricks to a data policy.

Agent Bricks: Multi-Agent Supervisor is in Beta

July 22, 2025

Agent Bricks provides a simple, no-code approach to build and optimize domain-specific, high-quality AI agent systems for common AI use cases. In Beta, Agent Bricks: Multi-Agent Supervisor supports designing a multi-agent AI system that combines Genie spaces and Knowledge Assistant agent endpoints to work together on complex tasks that require different specialized skills. Agent Bricks: Multi-Agent Supervisor is integrated with the Review App so you can use natural language feedback from your subject matter experts to improve the supervisor agent's quality.

See Use Agent Bricks: Multi-Agent Supervisor to create a coordinated multi-agent system.

Real-time mode in Structured Streaming (Public Preview)

July 22, 2025

You can now use real-time mode, a trigger type for Structured Streaming that enables sub-second latency data processing. This mode is designed for operational workloads that require immediate response to streaming data. See Real-time mode in Structured Streaming.

Databricks documentation release notes feed

July 16, 2025

The Databricks documentation site now provides an RSS feed that contains updates to the product and other feature release notes. This feed can be used by any feed reader or client that can consume RSS, so that you can take advantage of feed reader features such as email notifications for Databricks product releases. See Databricks release notes feed.

Public network access disabled for Azure managed disks

July 16, 2025

Public network access to Azure managed disks used by Azure Databricks workspaces is now disabled by default. This change enhances data security by ensuring disks are accessible solely through private network endpoints.

See Data security and encryption.

Explore table data using an LLM (Beta)

July 16, 2025

You can now ask natural language questions about the sample data using Catalog Explorer. The Assistant generates the SQL based on metadata context and table usage patterns. After the query is generated, you can validate the query and then run it against the underlying table. See Explore table data using an LLM.

Databricks Runtime 17.1 and Databricks Runtime 17.1 ML are in Beta

July 15, 2025

Databricks Runtime 17.1 and Databricks Runtime 17.1 ML are now in Beta. These releases include improvements to streaming, SQL functions, and connector behavior, along with reliability and performance enhancements across the platform.

See Databricks Runtime 17.1 (Beta) and Databricks Runtime 17.1 for Machine Learning (Beta).

Google Gemma 3 12B now available on Mosaic AI Model Serving

July 15, 2025

Google Gemma 3 12B is now available on Mosaic AI Model Serving as a Databricks-hosted foundation model. See Supported foundation models on Mosaic AI Model Serving.

Gemma 3 12B model supports text inputs for the following Model Serving features:

• Foundation Model APIs pay-per-token.
• Foundation Model APIs provisioned throughput.
• AI Functions. Both real time inference and batch inference workloads are supported.

The CAN VIEW permission on SQL warehouses is now generally available

July 15, 2025

The CAN VIEW permission allows users to view SQL warehouses, including query history and query profiles. These users cannot run queries on the warehouse.

See SQL warehouse ACLs.

Simplified compute form enabled by default

July 15, 2025

The simplified compute creation form is now enabled by default when you create all-purpose or jobs compute in the Databricks UI.

See Use the simple form to manage compute.

Serverless notebooks: Restore Python variables after idle termination

July 14, 2025

Databricks now snapshots your notebook’s Python variables before terminating idle serverless compute. When you reconnect, your notebook is automatically restored from its snapshot, letting you continue your work seamlessly.

See Automated session restoration for serverless notebooks.

Must be metastore admin to transfer share ownership for Delta Sharing

July 14, 2025

To change the ownership of a share for Delta Sharing, you must now be the metastore admin. Share owners can no longer transfer ownership. See Update shares.

Queries in Power Automate can return null values

July 11, 2025

The data returned from a query in Power Automate can now be null. See Connect to Azure Databricks from Microsoft Power Platform.

Git support for alerts

July 11, 2025

You can now use Databricks Git folders to track and manage changes to alerts. To track alerts with Git, place them in a Databricks Git folder. Newly cloned alerts only appear in the alerts list page or API after a user interacts with them. They have paused schedules and need to be explicitly resumed by users.

See How Git integration works with alerts.

Azure Databricks connector for Power BI now supports the ADBC driver (Public Preview)

July 11, 2025

You can set the Azure Databricks connector for Power BI to use the Arrow Database Connectivity (ADBC) driver instead of the ODBC driver.

See Arrow Database Connectivity (ADBC) driver connector implementation.

MLfLow support for compliance security profile standards

July 8, 2025

MLflow now supports all compliance security profile standards supported by Azure Databricks, such as HIPAA. For a full list of supported compliance standards, see Compliance security profile.

Databricks Apps support for Lakebase resources

July 8, 2025

Databricks Apps now supports adding Lakebase database instances as app resources. You can then include these resources as environment variables and access them from your app code.

See Add a Lakebase resource to a Databricks app.

Parent tasks (Run job and For each) now have a separate limit

July 4, 2025

Tasks that wait on child processes (Run job and For each tasks) now have a separate limit for the number of tasks that can run simultaneously, and do not count against the overall limit.

See Resource limits.

Git folders now supports multiple Git credentials per user (Public Preview)

July 2, 2025

Use the UI to add and manage multiple Git credentials in the workspace, from one or multiple Git providers.

See Set up Databricks Git folders.

Azure China North 3 region: Enhanced infrastructure support

July 1, 2025

New and upgraded infrastructure support is now available for the Azure China North 3 (chinanorth3) region. This update delivers improved performance, reliability, and scalability for Databricks users in China.

See IP addresses and domains for Azure Databricks services and assets.