Releasesby GlyphThe 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 .
Also shipped Sep 14, 2026Databricks in September 2026 →
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog . This feature is available in preview .
BigQuery supports WHERE clauses inside aggregate function calls in preview
Aggregate function calls can now include a WHERE clause that filters their input with a boolean expression, simplifying conditional aggregation in SQL.
Multimodal AI_SUMMARIZE for automatic theme summarization (Public Preview)
Snowflake Cortex AI_SUMMARIZE is now available in public preview, enabling customers to summarize text and multimodal content, including images and documents, directly in Snowflake.
Zero-copy support for all table formats in interactive warehouses (General availability)
Support for all table formats in interactive warehouses is now generally available and is no longer in Preview .
Metadata for BigQuery Graph is now automatically ingested and searchable in Knowledge Catalog
Metadata for BigQuery Graph is now automatically ingested and searchable in Knowledge Catalog. This feature is available in preview . For more information, see Knowledge Catalog overview .
Gemini model deprecation and retirement date updates
The retirement and deprecation dates for the following Gemini models have been updated: Gemini 2.5 Flash Image ( gemini-2.5-flash-image ) : Deprecated and scheduled for retirement on March 15, 2027 (extended from October 2, 2026). Migrate to Gemini 3.1 Flash-Lite Image ( gemini-3.1-flash-lite-image ).
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Automatic 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.
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 .
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.
Configurable retention for system tables is in Beta
Account admins can now set an account-wide retention period from 30 to 3,650 days for supported system tables. See Configure system table data retention .
The partner-powered AI features setting will be removed
On November 1, 2026, Databricks will remove the account- and workspace-level toggle for partner-powered AI features. Each workspace will keep its current setting value: if the setting is enabled, it stays enabled, and if it's disabled, it stays disabled. Removing the toggle doesn't change any setting values.