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13 releases of 1321

Last updated 6 hours ago

Release					Date
Base environments are now supported on classic compute (Beta) Manages Python dependencies using Databricks-provided or custom environments. #Compute #Notebooks	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 17, 2026
Git Folder Serverless is in Beta Shares serverless compute and pyproject.toml environment across notebooks and files. #Compute #Git Folders	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Sep 2, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 21, 2026
Manage project environments with %uv commands Requires environment version 5 or above. Supports serverless notebooks. #Compute #Notebooks	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 17, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Aug 3, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 24, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
Protobuf tensor input for custom model serving endpoints (Public Preview) Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026. #Machine Learning #Model Serving	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jul 9, 2026
Schedule deferred policy enforcement for all-purpose compute Applies on next restart or immediately, and admins can cancel scheduled enforcements. #Compute	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Jun 10, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 21, 2026
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	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	May 19, 2026
Compute log delivery to volumes is now GA Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage. #Compute	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Not on SAP	Apr 16, 2026
Serverless compute is enabled by default Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it. #Compute	Not on AWS	Not on Azure	On GCP, read it on their docs	Not on SAP	Mar 12, 2026
Flexible node types are now generally available Falls back to alternative instance types when specified type is unavailable, improving launch reliability. #Compute	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	Unknown on SAP	Dec 17, 2025

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 docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 17, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Sep 2, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 21, 2026
Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.

#Compute #Notebooks

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 17, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Aug 3, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 24, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
Protobuf tensor input for custom model serving endpoints (Public Preview)
Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

#Machine Learning #Model Serving

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jul 9, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Jun 10, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 21, 2026
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 docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) May 19, 2026
Compute log delivery to volumes is now GA
Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.

#Compute

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(not on this cloud) Apr 16, 2026
Serverless compute is enabled by default
Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.

#Compute

AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud) Mar 12, 2026
Flexible node types are now generally available
Falls back to alternative instance types when specified type is unavailable, improving launch reliability.

#Compute

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docsSAP(unknown) Dec 17, 2025

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.