Databricks releases, every cloud
- Incremental ingestion for Workday Reports (Beta)
Ingests only changed rows since last pipeline run if a cursor column is configured.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase now supports Postgres 18
Postgres 17 remains the default, select Postgres 18 when creating a project.
- Salesforce Marketing Cloud managed ingestion connector (Beta)
Ingests campaigns, journeys, and email events from Salesforce Marketing Cloud into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase Search adds vector, keyword, and hybrid search to Postgres (Beta)
Adds vector and keyword search to Postgres with lakebase_vector and lakebase_text extensions, replacing separate search stacks.
- Lakebase Postgres is now in Beta
Available in us-east4, us-central1, and europe-west3 regions.
- Zip connector (Beta)
Ingests data from Zip, a new option in Lakeflow Connect.
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
- Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - The update_flow API for Spark Declarative Pipelines on Lakeflow is generally available
Writes to a sink in update output mode, emitting only changed rows. Supports stateful aggregations without a watermark.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Aha! connector (Beta)
Ingests data from Aha!, using Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Monday.com managed ingestion connector (Beta)
Ingests boards, users, teams, and activity logs from Monday.com into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Zoho Books managed ingestion connector (Beta)
Ingests invoices, bills, contacts, and bank transactions from Zoho Books into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - External data access for pipeline streaming tables and materialized views (Public Preview)
Enables external Delta and Iceberg clients to read data without copying. Uses Unity Catalog and Iceberg catalog REST APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed SharePoint connector adds structured file ingestion and file metadata support (Beta)
Supports CSV, JSON, XML, Excel, Parquet, Avro, ORC ingestion, replacing unstructured-only approach.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Table update triggers on Delta Sharing and system tables (Beta)
Monitors data shared through Delta Sharing and system tables, triggering jobs on updates, supporting Databricks-to-Databricks sharing only.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed RabbitMQ connector (Beta)
Streams messages from RabbitMQ classic queues into Unity Catalog streaming tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Pendo connector (Beta)
Ingests data from Pendo into Lakeflow. Requires Lakeflow Connect.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase snapshot storage is now billed
Billed starting June 1, 2026, with size shown on Backup & Restore page.
- Query-based connectors for Lakeflow Connect are now generally available
Ingests data from databases like Oracle and PostgreSQL without CDC configuration.
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
- 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) - Postgres password authentication is now disabled by default for new Lakebase projects
Existing projects are unaffected, enable in project settings to allow.
- Customer-managed keys for Lakebase available in all AWS and Azure regions
Encrypts project data at rest using a custom cloud KMS key. Available for new projects.
- Lakebase now supports compute sizes up to 64 CU (128 GB)
Replaces 32 CU (64 GB RAM) limit, enables dynamic scaling for larger workloads.
- 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) - Recover a deleted Lakebase project within 7 days
Restores all branches, databases, and settings. Requires action within 7 days.
- 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) - New Lakebase instances now scale to zero by default
New instances scale to zero after 24 hours of inactivity, reducing compute costs. Existing projects are unaffected.
- Lakebase Change Data Feed (CDF) is now in Public Preview
Captures row-level changes from Postgres tables as Delta tables, requiring no external CDC stack.
- 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) - Upcoming change: Upgrade to Lakebase Autoscaling Coming soon
Upgrades start in June 2026, replacing Provisioned instances with autoscaling, requiring updated connection strings for some Private Link setups.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.