Databricks releases, every cloud
- Metastore-level ABAC policies are in Beta
Applies across every catalog in the metastore. Replaces per-catalog policy setup.
- 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.
- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- The READ METADATA privilege will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Grants read-only visibility into object metadata, including security-sensitive information.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- JAR tasks on serverless compute will soon be available for workspaces with the compliance security profile enabled Coming soon
Replaces cluster provisioning, available in Lakeflow Jobs.
- The counter_diff SQL window function is now available
Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.
- Window measures on a numeric index column in metric views
Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.
- DeepSeek V4.1 Flash is now available on Unity Gateway
Supports text and image inputs, accessible via Foundation Model APIs.
- Session restore for serverless jobs is in Public Preview
Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- Maintenance windows for continuous pipelines
Sets daily 1-hour window for platform updates. Configured via Jobs UI, Pipelines UI, or Jobs REST API.
- Managed tables in Lakeflow pipelines (Beta)
Creates tables that Lakeflow manages, replacing manual table creation, and supports migrating existing Structured Streaming workloads.
- Anaplan connector (Beta)
Ingests Anaplan audit trail events and user account records into Databricks.
- Anysphere Organization connector (Beta)
Ingests organization members and groups into Databricks via Anysphere Admin API. Requires API key authentication.
- Celigo connector (Beta)
Ingests Celigo audit log events into Databricks using an API token.
- External secrets in Unity Catalog (Beta)
Connects Unity Catalog schema to AWS Secrets Manager, appearing as read-only objects.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- ABAC DENY policies are in Beta
Explicitly deny MANAGE ACCESS CONTROL privilege, taking precedence over grants.
- Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available Coming soon
Replaces full snapshot default, improving performance and reducing cost.
- 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.
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- OpenAI GPT-6 Astra is now available on Unity Gateway
Available for enterprise workloads via pay-per-token Foundation Model APIs.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- 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.
- 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.
- Apache Arrow support for Zerobus Ingest is now generally available
Replaces JSON and Avro formats, requires Lakeflow Connect.
- ABAC GRANT policies are generally available for models and services
Replaces individual privilege grants with governed tag matching.
- Pipeline events system table is in Beta
Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.
- ai_transcribe function (Beta)
Transcribes audio files into text with optional speaker diarization. Returns VARIANT value.
- 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.
- 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.
- Atlassian Audit Logs connector (Beta)
Ingests Atlassian organization audit log events using an API key.
- Genie Code is now available as a Lakeflow Jobs task (Beta)
Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.
- xAI Grok 4.6 is now available on Unity Gateway
Access through governed API, switch models without changing code.
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.