Databricks releases, every cloud
- Sharing foreign Delta tables with OpenSharing is now generally available
Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.
- 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.
- 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.
- Sharing foreign Iceberg tables with OpenSharing is now generally available
Includes tables from external Iceberg catalogs via Lakehouse Federation.
- Sharing foreign schemas and tables with OpenSharing is now generally available
Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.
- Standard performance mode is now available for one-time runs in the Jobs API
Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- The Azure Databricks Excel Add-in is now generally available
Connects Excel to Azure Databricks workspace for querying and data import. Enables Live query for pivot tables.
- The Databricks Excel Add-in is now generally available
Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.
- 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.
- 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.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- Apache Arrow support for Zerobus Ingest is now generally available
Replaces JSON and Avro formats, requires Lakeflow Connect.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Pipeline events system table is in Beta
Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.
- 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.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
- Zerobus Ingest into streaming tables is now generally available
Works like writing to a managed Delta table with same limits and quotas.
- Anysphere Audit Logs connector (Beta)
Uses Anysphere Admin API to ingest audit-log events, requires Cursor Admin API key.
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- Verkada connector (Beta)
Ingests Verkada organization audit logs and access users using a Verkada API key.
- 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.
- Performance mode now applies to materialized view and streaming table refreshes from dbt tasks
Now applies to dbt tasks, with optional Standard mode for lower costs, increasing latency to 4-6 minutes.
- Salesforce connector mTLS authentication is now generally available
Replaces OAuth client credentials flow for API-only users, requires client certificates.
- Sharing managed Iceberg tables is now generally available
Now supports sharing to external Iceberg clients.
- Workiva connector (Beta)
Ingests Workiva audit activity, users, and roles using OAuth2 client credentials.
- Gmail connector in Lakeflow Connect (Beta)
Ingests messages, labels, drafts, filters, and profile data using a Google service account.
- SendGrid connector (Beta)
Ingests SendGrid subuser directory and IP access activity using a parent-account API key.
- Sharing tables backed by default storage is now generally available
Enabled by default on a rolling basis, can be shared with classic compute recipients.
- Sharing tables backed by default storage will be enabled by default for all accounts Coming soon
Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.
- SQL alert task in Lakeflow Jobs is now available by default for workspaces with the compliance security profile enabled
Supports all Databricks compliance security profile standards, returns evaluation state as output.
- Amplitude connector (Beta)
Ingests product analytics event data with metadata from Amplitude.
- Glean connector in Lakeflow Connect (Beta)
Ingests company-wide usage insights using a Glean Client API token.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Notion connector (Beta)
Ingests Notion pages, databases, and users into Databricks.
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.