Releasesby GlyphAnthropic 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.
Also shipped Sep 16, 2026Databricks in September 2026 →
BigQuery migration lineage service enters preview
The migration lineage service visualizes data flow and connections in a source database to help plan a BigQuery data warehouse migration.
Cortex Agents object enhancements (General availability)
The following Cortex Agents object enhancements are now generally available:
Include and exclude per-user quota users by name (General availability)
Per-user quotas now accept individual user names, so you can add or remove specific users alongside the quota's tag scope. INCLUDE_USERS is new and takes user names directly, and EXCLUDE_USERS accepts a 'USER' argument alongside its existing 'TAG' form:
Weekly per-user quota limits (General availability)
Per-user quotas now support a weekly credit limit alongside the existing monthly and daily limits. Pass 'WEEKLY' as the cycle argument to SET_PER_USER_LIMIT :
[In preview] Public Preview: Azure SQL updates for mid-September 2026
In mid-September 2026, the following updates and enhancements were made to Azure SQL:Configure soft delete for the Azure SQL logical server. When the logical server is deleted, it goes into a soft deleted state and is self-restorable during the configured
[In preview] Public Preview: PostgreSQL skills and MCP plugin for Azure Database for PostgreSQL
The PostgreSQL skills and MCP plugin turns supported AI coding assistants into context-aware PostgreSQL experts that can both provide guidance and act on a connected database. The bundled plugin combines expert-curated skills for PostgreSQL and Azure Data
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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 .
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.
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 .
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.
Bundled BigQuery JDBC driver removal in Databricks Runtime 20
Starting with Databricks Runtime 20, Databricks Runtime no longer includes the bundled BigQuery JDBC driver, while Databricks Runtime 19 and earlier continue to include it. Classic compute workloads that use Spark JDBC with a jdbc:bigquery: URL fail with a driver-not-found error unless a BigQuery JDBC driver is installed.