Databricks Release Notes

The system.lakeflow.pipeline_update_timeline table provides complete historical tracking of pipeline updates and supports fine-grained analysis of update activity, triggers, results, and compute usage.

See Pipeline update timeline table schema.

Mosaic AI Model Serving now supports Anthropic's Claude Opus 4.1 a Databricks-hosted foundation model. You can access this model using Foundation Model APIs pay-per-token.

The Lakeflow Pipelines Editor (previously called the multi-file editor) is now in public preview. The Lakeflow Pipelines Editor shows a pipeline as a set of files in the pipeline asset browser. You can edit the files and control the configuration of the pipeline and which files to include in one location. This also changes the default source code format for pipelines from notebooks to Python and SQL code files.

See Develop and debug ETL pipelines with the Lakeflow Pipelines Editor.

In early September 2025, Salesforce began restricting the use of uninstalled connected apps. This restriction does not break existing Unity Catalog connections to Salesforce, but it prevents you from creating a connection to a new Salesforce instance without the Databricks connected app installed.

For background, see Prepare for Connected App Usage Restrictions Change in the Salesforce documentation.

For steps to connect to Salesforce, see Create a Salesforce connection

• Global filters panel expanded by default: The global filters panel now opens by default when users first visit a dashboard to improve discoverability. On subsequent visits, the panel preserves the user's last setting.

• Benchmarks run in the background: Benchmarks now run as background tasks. Users can start a run without blocking their workflow.
• Checkmark for accepted JOIN relationships: Accepting extracted JOIN relationships now displays a checkmark to confirm acceptance.
• Improved benchmarks accessibility: Benchmarks are now available from the top-line toolbar for easier access.
• Notifications for benchmarks: A notification now encourages users to run benchmarks after making changes to instructions.

Spark Declarative Pipelines on Lakeflow has a legacy publishing mode that only allowed publishing to a single catalog and schema. The default publishing mode enables publishing to multiple catalogs and schemas. Migration from the legacy publishing mode to the default publishing mode is now generally available (issues encountered in the previous release of this feature have been fixed).

See Enable the default publishing mode in a pipeline.

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.

Mosaic AI Agent Framework now supports automatic authentication passthrough for Lakebase resources. This requires MLFlow 3.3.2 or above.

See Automatic authentication passthrough.

All newly created route-optimized endpoints must be queried using the route-optimized URL. Queries using the standard workspace URL path are not supported for route-optimized endpoints created after September 22, 2025.

See Query route-optimized serving endpoints.

You can now ask natural language questions about sample data using Catalog Explorer. The Assistant uses metadata context and table usage patterns to generate a SQL query. You can then validate the query and run it against the underlying table. See Explore table data using an LLM.

Mosaic AI Vector Search standard endpoints are now available in FedRAMP Moderate and IRAP workspaces. See Databricks AI Search.

• Genie credential handling for embedded dashboards: Genie integrated with dashboards published with embedded credentials now runs generated queries using the publisher's data credentials. Dashboards published without embedded credentials continue running using the viewer's data credentials.
• Simplified publish dialog: The dashboard publish dialog has been redesigned and simplified. The toggle for Genie integration has been moved to dashboard settings.

Genie One, a simplified user interface designed for business users, is now in Public Preview. Genie One provides a single, intuitive entry point to interact with data and AI in Databricks, without requiring technical knowledge of compute resources, queries, models, or notebooks.

With Genie One, business users can:

• View and interact with AI/BI dashboards to track KPIs and analyze metrics.
• Ask data questions in natural language using Genie.
• Use custom-built Databricks Apps that combine analytics, AI, and workflows.

Workspace admins can enable Genie One from the Previews page in the admin console.

See Use Genie One.

The cloudFiles.useManagedFileEvents option with Auto Loader is now in ungated Public Preview. This option allows you to discover files efficiently. For details, see the following:

• (Pre-requisite) Enable file events for an external location
• File notification mode with and without file events enabled on external locations

Databricks Runtime 17.2 is now generally available. See Databricks Runtime 17.2 (EoS).

You can now use Delta Sharing to share foreign schemas and tables created with query federation in Databricks-to-Databricks sharing and open sharing. See Add foreign schemas or tables to a share and Read data in a shared foreign table or foreign schema.

Delta Sharing recipients can now mount shares received from their Delta Sharing provider to an existing shared catalog. Previously, recipients needed to create a new catalog for each new share. See Create a catalog from a share.