Releasesby GlyphAutomatic change data feed will soon be available in all supported regions
Automatic change data feed (Auto CDF) is rolling out to workspaces over the next month and will be available in all supported regions by the end of October 2026. Auto CDF computes row-level changes at query time using row tracking, so you don't need to enable change data feed on each Delta Lake or Apache Iceberg v3 table.
Also shipped Sep 15, 2026Databricks in September 2026 →
Predict dynamic table refresh behavior with EXPLAIN CHANGES (General availability)
You can now use EXPLAIN CHANGES to predict a dynamic table's refresh behavior before it happens, either for a manual refresh or as part of a DDL change, without applying the change.
Horizon Catalog Explorer UI (Preview)
With this release, the Horizon Catalog Explorer is the default experience for browsing Snowflake objects in Snowsight, replacing Database Explorer. The Horizon Catalog Explorer provides consistent navigation and object detail pages while preserving the tabs and actions that you already use.
Embedding Streamlit in Snowflake apps in external pages (General availability)
Embedding Streamlit in Snowflake apps in external pages is now generally available. You can render a container-runtime app inside a page you host, such as a customer portal or an internal dashboard, using a single tag.
Elastic Channels for Snowpipe Streaming (General availability)
Elastic Channels for Snowpipe Streaming are now generally available. Elastic Channels provide one implicit, server-scaled ingestion path per pipe, so concurrent producers can stream directly to Snowflake tables and supported Snowflake-managed Iceberg tables without managing channel names, lifecycle, ordering, or offset tokens.
Cortex AI Gateway (Preview)
We are pleased to announce the preview of Cortex AI Gateway, the control plane where you govern how AI applications and third-party agents in your organization reach models.
Reinforcement learning fine-tuning in the Google Cloud console (Preview)
You can create, monitor, and test reinforcement learning fine-tuning jobs for Gemini models in the Google Cloud console ( Preview ). From the Models > Tuning page, you can configure Python code or model-based reward functions, test reward logic against sample prompts before launching a job, track training and evaluation metrics in real time, and test tuned...
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Anthropic models will be removed from AWS GovCloud IL5 workspaces
On September 19, 2026, Anthropic models will be removed from Databricks on AWS GovCloud and AWS GovCloud DoD workspaces that have the DoD Impact Level 5 (IL5) compliance standard selected. After this date, IL5 workspaces can't create or use endpoints that serve Anthropic models.
Unused OAuth client secrets are automatically deleted after 90 days
Databricks now automatically deletes a service principal's OAuth client secret after 90 days without use, consistent with unused access token cleanup. If a deleted secret is still needed, create a new OAuth secret .
The counter_diff SQL window function is now available
The counter_diff window function calculates differences between consecutive cumulative counter values and handles counter resets, for time-series analysis of counter data. It is available in Databricks SQL and Databricks Runtime 19 and above. See counter_diff analytic window function .
Moonshot AI Kimi K2.7 is scheduled for retirement
Moonshot AI Kimi K2.7 will be retired on October 30, 2026. Kimi K3 is the recommended replacement. See Deprecated and retired models for migration guidance.
Base environments are now supported on classic compute (Beta)
You can now use base environments to manage Python dependencies on classic compute. You can use Databricks-provided environments or custom workspace-level environments. See Manage dependencies using environments .
The Databricks Excel Add-in is now generally available
The Databricks Excel Add-in is now generally available. Connect Microsoft Excel to your Databricks workspace to browse and import governed Unity Catalog tables and views, run SQL queries, build pivot tables, use custom functions, and write data back to Unity Catalog.
The query history system table is now generally available
The system.query.history system table is now generally available. Use it to access account-wide records for queries run on SQL warehouses or serverless compute, including execution status, duration metrics, and query source. See Query history system table reference .
Databricks Runtime 19: September 21, 2026
New features and improvements truncate function : SQL and the Scala and Python DataFrame APIs now support truncate , which truncates a number to a specified scale without rounding.