Data and AI releases

548 this month · 176 companies

Anysphere Organization connector (Beta)

BetaVerified

The Anysphere Organization connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses the Anysphere (Cursor) Organization Admin API to ingest organization members, groups, and group members into Databricks as daily snapshots.

Data integrationDeveloper toolsCoding agents

Read on docs.databricks.com

Also shipped Sep 9, 2026Databricks in September 2026 →

Openflow gen 1 deployment creation retired

You can no longer create new first generation (gen 1) Openflow deployments (BYOC or Snowflake). All new deployments are second generation (gen 2), created with CREATE OPENFLOW DEPLOYMENT or the Openflow UI. Existing gen 1 deployments continue to work unchanged, and you can still create new gen 1 runtimes on an existing gen 1 deployment.

Deprecation
Source ↗

More from LakeflowEvery Lakeflow release →

Celigo connector (Beta)

The Celigo connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit log events, such as create, update, and delete operations on resources, from Celigo (integrator.io) into Databricks. Authentication uses a Celigo integrator.io API token.

Beta
Source ↗

Anaplan connector (Beta)

The Anaplan connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit trail events and user account records from your Anaplan tenant into Databricks. Authentication uses an Anaplan CA certificate and its paired private key. See Anaplan connector .

Beta
Source ↗

Managed tables in Lakeflow pipelines (Beta)

You can now create managed tables in Lakeflow pipelines and write to them with one or more append flows. This feature is in Beta . You can also use import_checkpoint on an append flow to migrate an existing Structured Streaming workload into a pipeline without reprocessing the source. See create_table , CREATE TABLE ... FLOW (pipelines) , and append_flow .

Beta
Source ↗

Maintenance windows for continuous pipelines

You can now set a maintenance window on a continuous Lakeflow pipeline to control when Databricks applies platform updates that require a restart, such as new runtime versions and serverless infrastructure maintenance. Select a day of the week, a start hour, and a time zone, and Databricks starts maintenance only within that one-hour window.

Update
Source ↗

Session restore for serverless jobs is in Public Preview

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs .

Preview
Source ↗