September 2026
Databricks released these features and improvements in September 2026.
Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.
OpenAI GPT-6 Astra is now available on Unity Gateway
September 4, 2026
OpenAI GPT-6 Astra is now available on Unity Gateway for enterprise reasoning, structured document processing, coding, agentic search, multimodal inputs, and long-context workloads. You can access this model using Foundation Model APIs pay-per-token.
Customers are responsible for ensuring their compliance with applicable terms.
Share metric views with OpenSharing (Beta)
September 3, 2026
You can now share metric views with Databricks users in other metastores or accounts using OpenSharing. See Add metric views to a share and Read shared metric views.
Environment version 6 is now available
September 3, 2026
You can now select environment version 6 as your base environment for serverless and standard classic compute. See Environment version 6.
Git Folder Serverless is in Beta
September 2, 2026
You can now use Git Folder Serverless to share serverless compute and a pyproject.toml-managed environment across notebooks and files in a Git folder. See Git Folder Serverless.
Google Gemini 3.8 Flash now available as a Databricks-hosted model
September 2, 2026
Model Serving now supports Google Gemini 3.8 Flash as a Databricks-hosted model. You can access this model using Foundation Model APIs.
Customers are responsible for ensuring their compliance with applicable terms.
AI Search supports struct and map columns and filter-only queries
September 2, 2026
You can now index and filter struct and map columns in AI Search, and run filter-only queries that return rows matching a filter without vector or keyword retrieval. See Query an AI Search index.
Apache Arrow support for Zerobus Ingest is now generally available
September 1, 2026
Apache Arrow support for Zerobus Ingest in Lakeflow Connect is now generally available. See Use Arrow Flight with Zerobus Ingest.
Genie One web search is in Beta
September 1, 2026
Genie One can now search the public web to answer questions that need current information, such as recent release notes, third-party documentation, or news. Genie One cites the external sources it uses as links in its response. See Search the web.
Genie One and Genie Agents can now use models served through OpenAI on Databricks
September 1, 2026
Genie One and Genie Agents can now use models served through OpenAI on Databricks when partner-powered AI features are enabled. For the hosting provider used by each feature, see Hosting provider used when partner-powered AI features setting is enabled and disabled.
Genie Code scheduled tasks are now generally available
September 1, 2026
Genie Code scheduled tasks are now generally available. You can schedule Genie Code to run a prompt on a recurring schedule. Each run executes your prompt as a full Genie Code session and produces a continuable Genie chat with the results, so you can turn recurring analysis and other work into an unattended background task. Create a scheduled task by asking Genie Code in chat or from the Schedules menu. See Genie Code scheduled tasks.
Databricks Runtime maintenance updates (09/01)
September 1, 2026
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 18 LTS
- Databricks Runtime 18.2
- Databricks Runtime 18.1
- Databricks Runtime 17.3 LTS
- Databricks Runtime 16.4 LTS
- Databricks Runtime 15.4 LTS
- Databricks Runtime 14.3 LTS
- Databricks Runtime 13.3 LTS
Anthropic Claude Fable 5.1 now available as a Databricks-hosted model
September 1, 2026
Unity Gateway now supports Anthropic Claude Fable 5.1 as a Databricks-hosted model. You can access this model using Foundation Model APIs.
Customers are responsible for ensuring their compliance with applicable terms.
Automatic change data feed is now generally available
September 1, 2026
Automatic change data feed (Auto CDF) computes row-level changes at query time using row tracking, without requiring you to manually enable change data feed on each Delta Lake or Apache Iceberg v3 table. Auto CDF removes write-time overhead and makes MERGE and UPDATE operations about 15% faster on tables that you query for changes. It works with batch queries, Structured Streaming, and Delta Lake Sharing, and requires Databricks Runtime 19 LTS or above with row tracking enabled. See Automatic change data feed.