Releasesby Glyphai_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 .
Also shipped Aug 29, 2026Databricks in August 2026 →
OpenAI API mTLS and X.509 workload identity federation are GA
Mutual TLS and X.509 workload identity federation can be configured in the Platform console, with access governed by organization roles and permissions, enabling keyless authentication.
active_sessions autoscaling metric for TTS
Dedicated endpoint autoscaling now accepts active_sessions , which targets concurrent open client WebSocket sessions per replica on a TTS deployment ( AVERAGE_VALUE only). The default inflight_requests metric also covers TTS handlers, so HTTP TTS traffic can keep scaling without a policy change. See Configure autoscaling .
Recommended migrations
- MiniMax M2.7 , migrate to MiniMax M3 GPT OSS 20B , migrate to GPT OSS 120B or Qwen3 8B for lower-latency workloads Kimi K2.6 Turbo / Fast , migrate to Kimi K2.6 (standard mode) Kimi K2.7 Code Fast , migrate to Kimi K2.7 Code (standard mode) DeepSeek V4 Pro , migrate to DeepSeek V4 Pro (0813)
Edit Image Quality Update
Hey everyone, we've updated our V8.2 edit model for better image quality. If you've had any issues in the last 24 hours give it a new shot and keep giving us feedback. Thanks! More updates soon.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
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 .
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...
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.
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.
Query text is now masked by default in system tables and APIs
Because SQL statements can contain sensitive information, Databricks now masks query text in the following places: statement_text in system.query.history returns . query_text in the Query History API and the List Queries API returns . Keys in request_params in system.access.audit that contain SQL definitions are omitted.
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 .