Databricks releases, every cloud
- Genie Code is now available in the Lakebase project UI
Lets you run multi-step data and AI tasks with natural language input. Available for all Lakebase projects.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Private network gateway is in Private Preview
Connects serverless compute to VPC and on-premises systems through a managed gateway, reusing existing network connectivity configuration.
- Secrets in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Replaces manual enablement, uses catalog.schema.secret namespace.
- The INSERT, UPDATE, and DELETE privileges are in Beta
Require Databricks Runtime 18.1 or above, alternative to MODIFY privilege.
- Verkada connector (Beta)
Ingests Verkada organization audit logs and access users using a Verkada API key.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- Role-based access control (RBAC) is generally available
Requires account and workspace admin setup. Enables exclusive access to sensitive data.
- Role-based access control (RBAC) will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Lets users assume a role with exclusive permissions, replacing accumulated permissions.
- Lakebase Postgres APIs are now generally available
Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.
- Workiva connector (Beta)
Ingests Workiva audit activity, users, and roles using OAuth2 client credentials.
- 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.
- Cross-workspace access for serverless (Beta)
Controls serverless network traffic between workspaces with ingress and egress rules.
- 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.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- 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.
- Databricks SQL version 2026.32 is now available in Preview
It includes the is_valid_variant function and supports REPLACE USING and REPLACE ON clauses with INSERT INTO.
- REPLACE USING flows for standalone streaming tables (Beta)
Replaces rows matching specified key columns, requires SEQUENCE BY column.
- Alert system tables are in Public Preview
Contains alerts and alert_evaluation_history tables for auditing and monitoring.
- Lakebase now supports PCI-DSS and HITRUST
Requires compliance security profile, limited to us-east-1 on AWS.
- 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.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Zerobus Ingest is now enabled by default for workspaces with the compliance security profile
Replaces manual connector setup for compliant workspaces.
- Lakebase is enabled by default in compliance security profile workspaces
Replaces manual Lakebase enablement in HIPAA, C5, or TISAX workspaces.
- 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.
- MANAGE no longer requires USE CATALOG or USE SCHEMA on the same object
No longer requires USE CATALOG or USE SCHEMA on the same object, but still needs them on parent containers.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.