Git Folder Serverless is in Beta

BetaSep 2, 2026VerifiedAdded Sep 22, 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 .

Notebooks

Read Databricks's release notes

https://docs.databricks.com/aws/en/release-notes/product/2026/september#git-folder-serverless-is-in-beta

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More Databricks Data Intelligence Platform releases

Databricks Data Intelligence PlatformSep 2, 2026

AI Search supports struct and map columns and filter-only queries

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 .

UpdateVector searchSQLSource

Databricks Data Intelligence PlatformSep 3, 2026

Environment version 6 is now available

You can now select environment version 6 as your base environment for serverless and standard classic compute. See Environment version 6 .

UpdateSource

Databricks Data Intelligence PlatformSep 1, 2026

Databricks Runtime maintenance updates (09/01)

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...

UpdateSecurityPerformanceSource

Databricks Data Intelligence PlatformSep 1, 2026

Automatic change data feed is now generally available

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.

GASQLStreamingApache IcebergSource

Databricks Data Intelligence PlatformSep 1, 2026

Databricks Runtime 19: September 1, 2026

New features and improvements Automatic change data feed is generally available : 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.

GASQLStreamingApache IcebergSource

Databricks Data Intelligence PlatformAug 29, 2026

Zhipu AI GLM 5.3 now available as a Databricks-hosted model

Model Serving now supports GLM 5.3 as a Databricks-hosted model in supported US and Americas regions. This text-only mixture of experts (MoE) model supports a context window of up to 1,048,576 tokens, up to 65,536 output tokens, function calling, structured output, coding, agentic tool use, and always-on reasoning.

UpdateAI agentsGovernanceRegionsSource

Databricks Data Intelligence PlatformAug 29, 2026

Restrict service principal OAuth secrets to specific API scopes

You can now restrict a service principal's OAuth secret to specific API scopes, such as sql or jobs , instead of all APIs. A token minted from a scoped secret can't exceed those scopes, which limits the impact of a leaked secret. See Authorize service principal access to Databricks with OAuth .

UpdateSQLSecurityDeveloper toolsSource

Databricks Data Intelligence PlatformAug 29, 2026

ai_transcribe function (Beta)

The ai_transcribe() SQL function transcribes an audio file into text. It returns the transcript as time-stamped segments, and labels each segment with a speaker when speaker diarization is enabled for your workspace. The output is a VARIANT value, so you can chain it into other AI Functions. This feature is in Beta . See ai_transcribe function .

BetaSQLSource

Also shipped on Sep 2, 2026

Snowflake Snowflake OpenflowSep 2, 2026

Openflow Connector for Jira Cloud: Core flow (General availability)

The Atlassian Jira Cloud (Core) flow is now generally available. The flow ingests Jira Cloud issues, projects, users, and related data into dedicated Snowflake tables with explicit schemas. It supports optional deletion tracking and parallel ingestion across projects. The Atlassian Jira Cloud (Agile) flow remains in Public Preview .

GAData integrationSource

Google Cloud AlloyDBSep 2, 2026

AlloyDB real-time BigQuery access adds limit pushdown and runtime projects

The preview feature pushes some LIMIT and OFFSET clauses down to BigQuery to cut network transfer, and optional runtime projects let queries run and bill compute separately from the owning project.

PreviewSQLStreamingSecuritySource

Google Cloud LookerSep 2, 2026

OpenJDK 11 will no longer be supported as of January 14, 2027

OpenJDK 11 will no longer be supported as of January 14, 2027 . Customer-hosted instances must upgrade to OpenJDK 21 .

DeprecationSource

Google Cloud Gemini EnterpriseSep 2, 2026

Gemini Enterprise: Gemini 3.8 Flash available in Global, US, and EU regions

Gemini 3.8 Flash is generally available (GA) in the global , us , and eu regions. For more information, see: Manage features on the web app Data residency for Gemini Enterprise Standard and Plus Editions and Gemini Notebook Enterprise

GALLMsNotebooksRegionsSource

Google Cloud Gemini Enterprise Agent PlatformSep 2, 2026

Gemini 3.8 Flash is generally available

Gemini 3.8 Flash is now generally available (GA) and available for production use. For more information on 3.8 Flash, see the model page .

GALLMsSource

Google Cloud Gemini Enterprise Agent PlatformSep 2, 2026

Deferred tier for autonomous agent scheduling (Preview)

The deferred tier is available in Preview. The deferred tier automatically queues non-latency-sensitive background agent workloads and schedules them to execute during off-peak hours. Key capabilities and benefits include: 50% token discount : Receive a 50% discount on consumed tokens for deferred workloads.

PreviewAI agentsDeveloper toolsPerformanceSource