Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Moonshot AI Kimi K2.7 is scheduled for retirement
Replaced by Kimi K3, retiring October 30, 2026.
- Unity Gateway support for compliance security profile standards
Enabled by default for workspaces with compliance security profile. Supports all Databricks compliance standards.
- Anthropic models will be removed from AWS GovCloud IL5 workspaces Coming soon
Removal affects IL5 workspaces on AWS GovCloud. Endpoints must be migrated before September 19, 2026.
- Unity Gateway API and developer tools are generally available
Requires Terraform 1.132.0, Databricks CLI v1.17.0, or later SDK versions.
- DeepSeek V4.1 Flash is now available on Unity Gateway
Supports text and image inputs, accessible via Foundation Model APIs.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Partner-powered AI features can no longer be disabled in the settings UI
Settings API still allows enable or disable until November 1, 2026.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
- The partner-powered AI features setting will be removed Coming soon
Settings will remain as is, but changes will require contacting the account team after removal.
- OpenAI GPT-6 Astra is now available on Unity Gateway
Available for enterprise workloads via pay-per-token Foundation Model APIs.
- AI Search supports struct and map columns and filter-only queries
Supports indexing and filtering of struct and map columns, and filter-only queries without vector retrieval.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Google Gemini 3.8 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Anthropic Claude Fable 5.1 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Automatic change data feed is now generally available
Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.
- Databricks Runtime 19: September 1, 2026
Replaces manual change data feed enablement, requires row tracking enabled.
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- ai_transcribe function (Beta)
Transcribes audio files into text with optional speaker diarization. Returns VARIANT value.
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- Zhipu AI GLM 5.3 now available as a Databricks-hosted model
Supports up to 1,048,576 tokens and 65,536 output tokens. Accessed via Foundation Model APIs.
- Monitor and cap external provider costs
Tracks and caps spend on Amazon Bedrock and Azure AI Foundry models. Requires enabling External Model Spend in Budgets on the account console.
- Unity Catalog Skills (Beta)
Publishes and governs agent skills, controlling access with Unity Catalog permissions.
- AI Functions REST API is now generally available
Includes ai_parse_document, ai_extract, and ai_classify calls.
- xAI Grok 4.6 is now available on Unity Gateway
Access through governed API, switch models without changing code.
- Zhipu AI GLM 5.3 Flash is now available on Unity Gateway
Access through the same governed API, with centralized permissions and no code changes required.
- ai_prep_search supports plain text and markdown input (Beta)
Accepts STRING content, no need for ai_parse_document preprocessing.
- Unity Gateway now supports Provisioned Throughput
Adds access controls and usage tracking to Provisioned Throughput models.
- Consumer access to query Unity Gateway services will become generally available Coming soon
Requires account admins to set budgets and rate limits beforehand to control model traffic.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- Monitor all AI activity with the unified trace table (Beta)
Captures requests and responses in OpenTelemetry format.
- Upcoming end of life for the Supervisor API Coming soon
Replaced by custom agents on Databricks Apps, ends September 30, 2026.
- ai_extract precision mode is now generally available
Supports multi-page documents and schemas with 50+ fields.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- DeepSeek V4 Pro (0813) is now available on Unity Gateway
Access through the same governed API as other models, with centralized permissions and controls. Switch models without changing application code.
- Block or redact sensitive data in requests and responses
Detects SSNs, credit cards, and phone numbers using regex and checksums. Requires Enhanced Unity Gateway preview.
- Google Gemini 3.7 Flash is now available on Unity Gateway
Access through the same governed API as other models, with no application code changes required.
- Smart Routing: Cut AI costs by routing each task to the right model
Works with Claude Code and Codex via Unity Gateway CLI or Omnigent. Cuts task cost by over 30%.
- ABAC GRANT policies now cover Unity Gateway resource types (Beta)
Supports model services, model provider services, MCP services, and agent services, allowing tag-based access.
- DeepSeek V4 Flash (0731) is now available on Unity Gateway
Access through the same governed API as other models, with centralized permissions and controls.
- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- ai_search function (Beta)
Retrieves info from AI Search indexes, generating optimized queries and returning relevant documents.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.