Databricks releases, every cloud
- 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.
- 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.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Unity Catalog Skills (Beta)
Publishes and governs agent skills, controlling access with Unity Catalog permissions.
- 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.
- Anysphere Audit Logs connector (Beta)
Uses Anysphere Admin API to ingest audit-log events, requires Cursor Admin API key.
- Verkada connector (Beta)
Ingests Verkada organization audit logs and access users using a Verkada API key.
- Context attributes in ABAC column mask and row filter policies (Beta)
Targets request context, such as OAuth client ID and on-behalf-of status, in Unity Catalog policies.
- 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.
- Identity attributes in ABAC column mask policies (Beta)
Targets users by attributes like department or country, using has_identity_attribute_value and has_identity_attribute_tag_match functions.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- Tags page in Governance Hub (Beta)
Provides a centralized view of tag usage, summarizes governed tags, and offers recommendations for invalid values. Requires account admins to enable from Previews page.
- Amplitude connector (Beta)
Ingests product analytics event data with metadata from Amplitude.
- Define business concepts with Pages (Beta)
Gives business terms a single governed definition, part of Unity Catalog semantics.
- 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.
- Orchestrate continuous pipelines with continuous jobs
Determines execution mode, allows serverless Standard performance mode. Replaces pipeline's built-in continuous setting.
- READ METADATA privilege is GA
Provides read-only visibility into security-sensitive metadata, including privilege grants and ABAC policies.
- Change data feed on materialized views (Beta)
Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.
- Tag automations (Beta)
Assigns or removes governed tags on Unity Catalog tables or volumes based on defined conditions.
- REPLACE USING flows for pipelines (Beta)
Replaces rows matching specified key columns, doesn't require change data capture feed or primary key.
- Google Drive connector (GA)
Supports fully managed and custom ingestion pipelines with Spark and SQL APIs.
- NetSuite connector (GA)
Ingests ERP and financial data from Oracle NetSuite into Databricks.
- PagerDuty connector (Beta)
Ingests incident, on-call, service, and audit data from PagerDuty into Databricks.
- SharePoint connector (GA)
Includes managed and standard connectors for ingestion pipelines.
- Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Inherits custom tags from enclosing SQL warehouse environment for billing.
- Refresh materialized views and streaming tables without exempting the pipeline owner from ABAC policies
Pipeline owners are now subject to ABAC policies when refreshing views and tables. Policies are evaluated using the pipeline owner's identity.
- Secrets in Unity Catalog is GA
Stores secrets as securable objects with Unity Catalog privileges. Uses catalog.schema.secret namespace.
- OpenAI connector (Beta)
Uses OpenAI Organization Admin API to ingest admin data, authenticates with OpenAI Admin API key.
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.