Releasesby GlyphAutomatic 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.
Also shipped Sep 1, 2026Databricks in September 2026 →
Fivetran connection cron scheduling enters beta
Connections can now use one or more cron expressions to control exactly when they sync, giving finer control than fixed sync frequencies.
Fivetran Connection Warnings REST API enters private preview
New endpoints retrieve active warnings for a connection, grouped by destination table with codes, messages and timestamps, and dismiss all instances of a warning type, enabling programmatic warning management.
Snowflake App Runtime (General availability)
Snowflake App Runtime is now generally available and is no longer in Preview .
Gemini Enterprise: Overage controls available for all invoiced Cloud Billing accounts
Configuring overage controls in Gemini Enterprise is available to all projects linked to an invoiced Cloud Billing account . Previously, customers that received an email with the subject line [Billing Update] New Gemini Enterprise overage billing controls launching Aug 17, 2026 couldn't enable overages despite having an invoiced Cloud Billing account.
Pricing updates for agent metering
Session and memory bank compute metering is in effect for the Agent Platform compute SKU. For more information, see Gemini Agent Platform Pricing .
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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...
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.
Git Folder Serverless is in Beta
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 .
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 .
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 .
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.
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 .
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 .