Releasesby GlyphREPLACE USING flows for pipelines (Beta)
REPLACE USING flows are now available in Lakeflow pipelines in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.
Also shipped Aug 5, 2026Databricks in August 2026 →
Openflow Connector for SQL Server (CDC) (General availability)
The Openflow Connector for SQL Server (CDC) is now generally available. The connector captures every row-level change from Microsoft SQL Server using Change Data Capture (CDC) and replicates selected tables into Snowflake in near real-time or on a schedule. It supports initial snapshot load, incremental sync, and schema evolution.
The Table Visualization Improvements feature is now generally available
The Table Visualization Improvements feature is now generally available. You can now use the following features for table visualizations : Pagination Show/Hide Table Headers Table Borders Cell Highlighting Conditional formatting for string fields
More from LakeflowEvery Lakeflow release →
Zerobus Ingest is now enabled by default for workspaces with the compliance security profile
The Zerobus Ingest connector in Lakeflow Connect is now enabled by default for workspaces with the compliance security profile enabled. See Zerobus Ingest overview .
JAR tasks on serverless compute are now generally available
Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute, without provisioning or managing clusters. See Create and run JARs on serverless compute .
SharePoint connector (GA)
Both SharePoint connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.
PagerDuty connector (Beta)
The managed PagerDuty connector in Lakeflow Connect is now available in Beta. The connector ingests incident, on-call, service, and audit data from PagerDuty into Databricks. See PagerDuty connector .
NetSuite connector (GA)
The managed NetSuite connector in Lakeflow Connect is now generally available. The connector allows you to ingest ERP and financial data from Oracle NetSuite into Databricks. See NetSuite connector .
Google Drive connector (GA)
Both Google Drive connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.
Change data feed on materialized views (Beta)
You can now read a change data feed from a materialized view created in a Lakeflow pipeline or in Databricks SQL, using Databricks Runtime 18 LTS or above. Use this to replicate materialized view changes to destinations outside Databricks, or to keep a history of materialized view changes for auditing and reporting.
Environment variables for serverless jobs are in Beta
Environment variables for serverless Lakeflow Jobs tasks are in Beta . You can define named environment variable entries at the job level and select one for each task to pass deployment-specific configuration to your application code. A workspace admin must enable the preview from the workspace Previews page.