Releasesby GlyphChange 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.
Also shipped Aug 7, 2026Databricks in August 2026 →
DCM Projects (General availability)
DCM Projects are now generally available and are no longer in Preview . DCM Projects enable a declarative approach to managing Snowflake objects as code. You define the desired target state of your databases, tables, tasks, and other Snowflake objects in definition files, and Snowflake determines and applies the necessary changes to reach that state.
Snowflake Native Apps: Cortex Agents and MCP servers (General availability)
Cortex Agents and MCP servers in Snowflake Native Apps are now generally available. Providers can create the following objects in an app’s setup script: Apps can also use inter-app communication so that one app’s agent calls another app’s agent or MCP server.
AlloyDB can sync BigQuery tables in preview
BigQuery tables can be synced into AlloyDB once or on a periodic schedule, giving operational analytics low-latency transactional access to data lake data.
AlloyDB integration with BigQuery enters preview
AlloyDB can connect operational and analytical data through real-time lakehouse federation to BigQuery, periodic data synchronization and one-time table syncs, all in preview.
Gemini Enterprise: Custom MCP server data stores
You can connect your custom Model Context Protocol (MCP) server with Gemini Enterprise to securely access your company's private data, custom internal tools, and MCP-compliant third-party systems. This feature is turned off by default. To enable it, an Organization Policy Administrator must remove the organization constraint.
Claude Managed Agents sessions support hard spend budgets
A session budget caps spend at public list rates; when reached, the session pauses with the budget_reached stop reason instead of starting new model requests. Deployments can apply the same budget to every session they start.
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 .
REPLACE 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.
Notion connector (Beta)
The managed Notion connector in Lakeflow Connect is now available in Beta. The connector ingests pages, data sources, databases, blocks, comments, and users from Notion into Databricks. See Notion connector .
Orchestrate continuous pipelines with continuous jobs
You can now run a continuous Lakeflow pipeline with a continuous job. When a continuous job orchestrates a pipeline, the job determines the execution mode, and the pipeline can use job-level features such as serverless Standard performance mode and additional notification destinations.
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 .