Databricks Release Notes

• Updated selection color in Terra theme: The selection color in the Terra theme has been updated to improve visibility.

Databricks Runtime 17.1 is now generally available. See Databricks Runtime 17.1 (EoS).

AI Playground is now GA. See Chat with LLMs and prototype AI apps using AI Playground.

Databricks Assistant now supports edit mode, which performs reasoning and editing steps across multiple cells in a notebook. Edit mode handles complex, multi-step tasks efficiently, coordinating changes across multiple cells without requiring manual intervention or repetitive prompting.

For information about using Assistant on code, see Get coding help from Genie Code.

• Display name support for Sankey visualizations: Sankey charts now support display names for nodes.

• Fixed duplicate $ signs in table formatting: Resolved an issue where table visualizations sometimes displayed duplicate dollar signs.

• Fixed NULL value handling in downloaded CSVs: Genie no longer replaces NULL values with the string undefined when downloading CSV files.

• Improved caching of Genie Agent (formerly Genie Space) context: Caching enhancements speed up question performance when starting a new Genie session.

• Fixed incorrect access to Genie file upload feature: The file upload feature is now restricted to customers who have opted into the Public Preview as intended.

You can use the Databricks Terraform provider to create Lakebase resources such as database catalogs, database instances, and synced tables. This lets you set up and manage Lakebase resources with infrastructure as code.

See the Terraform documentation and changelog.

Synced tables are now automatically metered and billed. Synced tables use Spark Declarative Pipelines on Lakeflow to sync data from Unity Catalog tables into a Lakebase database instance. All usage is tracked and reported in system.billing.usage.

See Billable usage system table reference and Serve lakehouse data with synced tables.

Delta Sharing providers can now add tables and schemas secured by attribute-based access control (ABAC) to a Delta share. The policy does not govern the recipient's access, so recipients have full access to the shared asset. Recipients can apply their own ABAC policies.

See Add tables and schemas secured by ABAC policies to a share and Read ABAC-secured data and apply ABAC policies.

In the new SQL editor, you can now choose from preset date ranges—such as This week, Last 30 days, or Last year when using timestamp, date, and date range parameters. These presets make it faster to apply common time filters without manually entering dates.

Using Delta Sharing to share streaming tables and materialized views is generally available. There are fewer limitations for share recipients and providers when sharing streaming tables and materialized views.

See Add streaming tables to a share, Add materialized views to a share, and Read shared streaming tables and materialized views.

The Jobs & Pipelines list now includes pipelines for materialized views and streaming tables that were created with Databricks SQL.

When enabling Delta Sharing on your metastore, an organization name must be specified if you are sharing data with a Databricks recipient not in your account. When possible, existing provider names without an organization name are automatically updated to include account details, aiming to make them more readable. A readable organization name helps recipients to identify their share providers.

See Enable OpenSharing on a metastore and View providers.

The usage_metadata.job_name value in the system.billing.usage table now contains the run names for runs triggered through the one-time run API. If a run name isn't provided in the request body, the job_name field is recorded as Untitled.

Serverless compute for notebooks and jobs now uses an upgraded runtime, which roughly corresponds to Databricks Runtime 17.0. See Serverless compute release notes.

You can now disable access to the Databricks Filesystem (DBFS) root and mounts in existing Databricks workspaces. See Disable access to DBFS root and mounts in your existing Databricks workspace.

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 Home icon., Query editor icon., and Pipeline icon. icons on the top left in the editor. See Switch between spaces.

ai_parse_document is now available in the following regions:

• us-west-2
• us-east-1
• us-east-2
• ap-northeast-1
• ap-northeast-2
• ap-south-1
• ap-southeast-1
• ap-southeast-2
• ca-central-1
• eu-central-1
• eu-west-1
• eu-west-2
• sa-east-1

See ai_parse_document function.