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113 releases of 1321

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  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

    #Compute#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. The counter_diff SQL window function is now available

    Calculates differences between consecutive cumulative counter values, available in Databricks Runtime 19 and above.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Window measures on a numeric index column in metric views

    Supports unitless offset and ranges on consecutive integer columns, useful for non-calendar periods like fiscal weeks.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. See which chunks support each ai_search answer (Beta)

    Added generate_citations option to show supporting chunks.

    #Databricks AI#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. time_bucket SQL function aligns timestamps to fixed-width time buckets

    Replaces date_trunc for non-calendar units, requires origin and width parameters.

    #Databricks SQL
    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. Environment version 6 is now available

    Supports serverless and standard classic compute.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. Git Folder Serverless is in Beta

    Shares serverless compute and pyproject.toml environment across notebooks and files.

    #Compute#Git Folders
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. Default Python package repositories are GA for Lakeflow pipelines and classic compute

    Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.

    #Compute#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

    #Compute#Notebooks
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. REPLACE USING flows for standalone streaming tables (Beta)

    Replaces rows matching specified key columns, requires SEQUENCE BY column.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Alert system tables are in Public Preview

    Contains alerts and alert_evaluation_history tables for auditing and monitoring.

    #Databricks SQL#System tables & audit logs
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    #Compute
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  15. Change data feed on materialized views (Beta)

    Requires Databricks Runtime 18 LTS or above. Enables replication to external destinations.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  16. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  17. Automatic cost attribution for materialized views and streaming tables in Databricks SQL

    Inherits custom tags from enclosing SQL warehouse environment for billing.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

    #Compute#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    #Compute#Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.

    #Compute#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  22. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  23. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    #Compute#Networking
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  24. Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled

    Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.

    #Databricks SQL#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  25. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  26. Lakehouse Real-Time (Beta)

    Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  27. MATCH_RECOGNIZE is now in Beta

    Requires enabling Match Recognize preview in workspace settings.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  28. Databricks SQL version 2026.20 is now available in Preview

    Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  29. Metric view parameters are now in Public Preview

    binds values at query time, replacing separate views per variant.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  30. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  31. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  32. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  33. UNIQUE constraint support is now in Public Preview

    Enables join elimination and DISTINCT simplification on Photon-enabled compute. Applies to Unity Catalog Delta Lake tables.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  34. Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available

    Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  35. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  36. Databricks SQL version 2026.15 is now available in Preview

    XPath no longer fetches external DTDs, fixing failures from malformed URLs.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  37. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

    #Compute#Platform
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  38. Fixed LOD expression syntax update for metric views

    Uses SQL window functions, replacing two-step pre-computation approach.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  39. Databricks Container Services for standard compute is now available (Beta)

    Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.

    #Compute
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  40. Databricks SQL alerts are now generally available

    Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  41. Version 18.2

    Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  42. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs

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