Releasesby GlyphSQL alert task in Lakeflow Jobs is now generally available
The SQL alert task in Lakeflow Jobs is now generally available. Use the task to evaluate a Databricks SQL alert as part of a Lakeflow Job. The task returns its evaluation state as a task output value, so downstream tasks can branch on the result. See SQL alert task for jobs .
Also shipped Jun 29, 2026Databricks in June 2026 →
Dynamic Iceberg table replication (General availability)
Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations. For more information, see Configure replication for Snowflake-managed Iceberg tables .
Fast mode removed for Claude Opus 4.6
Requests to claude-opus-4-6 with speed fast now run at standard speed and standard rates without erroring, and usage.speed reports the speed used. Migrate to Claude Opus 4.8 to keep fast mode.
Cursor Mobile App for iOS
Cursor for iOS is now available in public beta on all paid plans. Launch and manage always-on agents from anywhere. Cloud agents on mobile Open the Cursor mobile app, choose a repo, and launch an agent the same way you would on the desktop app.
Claude Opus 4.8 (fast mode) is now in preview for GitHub Copilot
Claude Opus 4.8 (fast mode) is now rolling out in preview on GitHub Copilot. Fast mode delivers significantly faster output token speeds while maintaining the same intelligence as Claude Opus 4.8, making it well suited for interactive coding and agentic workflows where responsiveness matters.
Vercel Functions can now be up to 5GB in package size
Vercel Functions now support Node.js and Python deployments up to 5GB in package size on Fluid compute , a 20x increase over the previous 250MB limit. Large Functions support is in public beta .
Realtime voice, speech, and transcription now supported on AI Gateway
AI Gateway now supports voice and audio models. You can build realtime voice agents, generate speech from text, and transcribe audio to text. This provides the same observability, spend controls, and bring-your-own-key support as text, image, and video models in AI Gateway, with no markup or platform fees.
More from LakeflowEvery Lakeflow release →
Run a subset of job tasks with their dependencies
When you run a subset of a job's tasks, you can now expand your selection to include each task's dependencies. Add the + modifier to a task key to also run its upstream tasks ( +my_task ), its downstream tasks ( my_task+ ), or both ( +my_task+ ). Start a partial run from the UI, the REST API, the Databricks CLI, the SDKs, or Declarative Automation Bundles.
Veeva Vault connector (Beta)
The Veeva Vault connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses Veeva's Direct Data API to ingest all standard objects, custom objects, system tables, and audit trail tables from your Vault instance into Databricks.
MySQL integrated CDC pipeline is now in Beta
The integrated CDC pipeline for MySQL is now in Beta . An integrated CDC pipeline ingests change data from MySQL into Databricks using a single pipeline, combining extraction and application into one pipeline update. Unlike the standard gateway-based architecture, an integrated CDC pipeline requires no separate ingestion gateway.
Lakeflow Connect row filtering is now generally available
Row filtering in Lakeflow Connect is now generally available. Row filtering allows you to ingest only the rows you need by applying conditions similar to a SQL WHERE clause, improving performance and minimizing data duplication.
Microsoft Dynamics 365 connector (GA)
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector .
Standard performance mode is now supported for materialized view or streaming table refreshes in jobs
Materialized view and streaming table refreshes that are orchestrated through a SQL task in a Lakeflow job now respect the job's Performance optimized setting. When the setting is turned off, the refresh uses standard performance mode, which consumes fewer DBUs.
REPLACE WHERE flows are now generally available
REPLACE WHERE flows for pipelines and standalone streaming tables are now generally available. Use them to replace only rows matching a predicate on each refresh, without reprocessing the full table history. See Batch processing with REPLACE WHERE flows .
Excel file format support is now available by default
Excel file format support is now available by default for all workspaces. You can ingest, parse, and query .xls , .xlsx , and .xlsm files directly using built-in support, without external libraries or manual conversions. See Read and stream Excel files .