Databricks releases, every cloud
- Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.
- Azure Databricks-provided MCP Services will GA soon Coming soon
Enables read and write operations by default for tools like Slack and GitHub, and can be disabled in Unity Gateway.
- Databricks-provided MCP Services will GA soon Coming soon
Enables read and write operations for Slack, GitHub, and others by default, can be disabled in Unity Gateway.
- OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models
Access via Foundation Model APIs on a pay-per-token basis, requiring compliance with applicable terms.
- Anthropic Claude Sonnet 4 is scheduled for retirement
Replaced by Claude Sonnet 4.6, retiring October 9, 2026.
- Google Gemini 2.5 Flash and Pro are scheduled for retirement
Replaced by Gemini 3.1 Pro or Gemini 3.5 Flash, retiring October 2, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Object metadata column is now in Public Preview
Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
Requires account team enablement, restricts access to task-specific AI Functions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Zhipu AI GLM 5.2 now available as a Databricks-hosted model
Supports 1 million token context window and long-horizon reasoning. Accessed via Foundation Model APIs.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Budgets are now generally available
Define spending thresholds with optional per-user overrides and actions like email alerts.
- Google Gemini 3.1 Flash Image and Gemini 3 Pro Image now available as Databricks-hosted models
Accessible via Foundation Model APIs, requiring customer compliance with applicable terms.
- MySQL integrated CDC pipeline is now in Beta
Replaces separate ingestion gateway, requires single pipeline update.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Anthropic Claude Sonnet 5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requiring compliance with applicable terms.
- Genie Code Chat/Agent mode selector removed
Genie Code now runs exclusively in Agent mode, use prompts to disable autonomous task execution.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Parquet v2 for Delta Lake tables is generally available
Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.
- Solution Accelerators in Databricks Marketplace are now published as apps or notebooks
They are now categorized as apps or notebooks, with unchanged content.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed agent memory is in Beta
Stores memory in Unity Catalog memory stores, accessed through REST API.
- Omnigent coding agent meta-harness is now in Beta
Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Install third-party apps from Databricks Marketplace
Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_query is now generally available
Lets you query AI models from SQL or Python.
- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Use Universal Commits to purchase Marketplace partner products
Up to 10% of Universal Commits can be used for third-party products.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Auto time-to-live for automatic row deletion is generally available
Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.
- Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.
- Faster inference tables for custom model serving endpoints
Ingests through endpoint telemetry, with configurable sampling, and requires AI Gateway setup.
- Agent Bricks Supervisor Agent now supports Unity Catalog volumes as subagent tools
Adds Unity Catalog volumes as subagent tools, allowing coordinated access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_classify is now generally available
Classifies text content according to custom labels with support for multi-label classification.
- ai_extract is now generally available
Extracts structured data from text and documents according to a provided schema. Supports nested objects and arrays.
- Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- AI Search supports selected text columns, sorting, and aggregations (Beta)
Supports keyword matching in selected columns, sorting by indexed columns, and aggregate counts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- Agent Bricks Supervisor Agent now supports web search as a built-in tool
Returns synthesized answers with source citations, also available as databricks_web_search tool in Supervisor API.
- Full page Genie Code (Beta)
Runs multiple threads in parallel, personalizes with skills and servers.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Anthropic Claude Opus 4.8 now available as a Databricks-hosted model
Access via Foundation Model APIs, pay-per-token.
- Removed legacy Assistant slash commands
/settings and /rename are replaced by notebook UI settings and rename options.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Genie Code Agent mode is now available by default for workspaces with the compliance security profile enabled
Requires HIPAA, PCI-DSS, and FedRAMP Moderate controls. Automates code generation and error fixing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports nesting supervisor agents as subagent tools
Enables nested multi-agent orchestration by adding Supervisor Agents as subagent tools.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Google Gemini 3.5 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
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.