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Releases

Week of January 26, 2026

15 releases between January 26, 2026 and February 1, 2026, 3 of them change something you already run.

GA
3
Preview
1
Update
11
On
AWS 15, Azure 13, GCP 13
  1. Lakeflow jobs system tables are now generally available (GA)

    Provide insights into all jobs and job runs in your account.

    #System Tables
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Paste images into notebooks

    Copies images from local file system using ⌘ + V or Ctrl + V.

    #Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Trigger on update for pipelines (GA)

    Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

    #Lakeflow#Notebooks#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. Dashboard visualization and data improvements

    Widgets render pivot tables at full width, and download limits increase to 10,000x1000 rows and columns.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Genie Agent (formerly Genie Space) API and user experience improvements

    Supports downloads up to 1 GB, fixes chart generation, and adds collapsible error messages.

    #AI/BI#Genie Agents
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. OpenAI GPT-5.2 Codex now available as a Databricks-hosted model

    Excels at code generation and refactoring tasks. Accessible via Foundation Model APIs pay-per-token.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  9. OpenAI GPT-5.2 Codex now available as a Databricks-hosted model

    Excels at code generation and debugging tasks, accessed via Foundation Model APIs pay-per-token.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  10. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

    #Serverless#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Compute sizing for Databricks Apps is now generally available

    Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Databricks Runtime 18: January 27, 2026

    Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Databricks Runtime maintenance updates (01/27)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Knowledge Assistant is now available in more regions

    Available in us-east-2, ca-central-1, eu-central-1, eu-west-1, ap-southeast-1, and ap-southeast-2. Requires cross-geo processing in ap-southeast-1 and ap-southeast-2.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  15. Managed MCP servers is now Public Preview

    Allows AI agents to connect to Databricks resources and external APIs.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  16. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)

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