Databricks releases, every cloud
- Google Drive managed ingestion connector (Beta)
Ingests files from Google Drive into Databricks, supporting unstructured and structured data.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Real-time mode in Spark Declarative Pipelines on Lakeflow, and the update_flow API are now available (Public Preview)
Achieves end-to-end latency as low as 5ms, uses update output mode.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available
Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Spark Declarative Pipelines on Lakeflow parameters are now in Beta
Define key-value pairs at pipeline level, referenced in SQL using named parameter syntax.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Unified runs list is generally available
Replaces separate job and pipeline run lists, adds filtering and error code visualization.
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
- Spark Declarative Pipelines on Lakeflow sinks are now generally available
Supports writing to Delta tables, Kafka topics, and Azure Event Hubs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Spark Declarative Pipelines on Lakeflow environment versions (Beta)
Pins Python version and libraries, decoupling from Databricks Runtime upgrades.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SQL alert task in Lakeflow Jobs is now in Public Preview
Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state as output.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - HubSpot connector (GA)
Ingests data from HubSpot Marketing Hub into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Standalone pipelines on serverless general compute (Beta)
Requires serverless general compute, created via SQL or Python.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - GitHub managed ingestion connector (Beta)
ingests GitHub data into Databricks, available in Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Outlook managed ingestion connector (Beta)
Ingests email data from Microsoft Outlook into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Smartsheet managed ingestion connector (Beta)
Ingests Smartsheet data into Databricks, available in Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakeflow Pipelines Editor is now generally available
Offers agent-first experience with Genie Code for creating production pipelines.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Community connectors (Beta)
Extends Lakeflow Connect to unsupported sources, built by the community.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Disabling tasks in Lakeflow Jobs is now GA
Disabled tasks retain config and run history, can be re-enabled later.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Zendesk Support connector (GA)
Allows syncing Zendesk tickets to Databricks.
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
- Confluence connector (GA)
Allows reading Confluence spaces and pages into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakeflow Designer is now in Public Preview
Offers drag-and-drop canvas and natural language for building data workflows.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Query-based connectors for Lakeflow Connect (Public Preview)
Ingests data from databases using a cursor column, supporting Oracle, Teradata, and others.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - New cascade field for deleting Unity Catalog pipelines (Beta)
Deletes associated materialized views and tables by default, set cascade=false to retain them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon
Deletes now retain associated tables by default, set cascade=true to remove them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Databricks SQL pipelines support notifications and performance mode (Beta)
Supports failure notifications and serverless performance mode for materialized views and streaming tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Declarative Feature Engineering APIs (Beta)
Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.
- Workday HCM connector (Beta)
Ingests Workday Human Capital Management data into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- COMMENT ON streaming tables is now GA
Adds comments to streaming tables, previously only available for non-streaming tables.
- JAR tasks on serverless compute is now in Public Preview
Allows running JAR jobs without a cluster.
- TikTok Ads connector (Beta)
Ingests data from TikTok Ads into Databricks.
- File events enabled by default on new external locations
Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
- HubSpot connector (Beta)
Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.
- Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)
Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
- Applying filters, masks, tags, and comments to pipeline-created datasets is now GA
Modifies ETL and ingestion pipelines using CREATE, ALTER, or Lakeflow UI. Applies to Spark Declarative Pipelines on Lakeflow and Lakeflow Connect.
- Google Ads connector (Beta)
Ingests data from Google Ads into Databricks via Lakeflow Connect.
- Zendesk Support connector (Beta)
Ingests ticket, help center, and community forum data from Zendesk Support.
- Trigger on update for pipelines (GA)
Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.
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.