Google
Cloud Platform
Amazon Web Services
Microsoft AzureJanuary 2022
These features and Databricks platform improvements were released in January 2022.
Note
Releases are staged. Your Databricks account may not be updated until a week or more after the initial release date.
MLflow Model Registry Webhooks on Databricks (Public Preview)
January 31, 2022
You can now use webhooks to listen for MLflow Model Registry events and trigger actions based on them. For example, you can use webhooks to automate and integrate your machine learning pipeline with existing CI/CD tools and workflows, trigger CI builds when a new model version is created, or notify your team members through Slack when there is a request to transition a model to production.
Databricks Runtime 10.3 (Beta)
January 26, 2022
Databricks Runtime 10.3, 10.3 Photon, and 10.3 ML are now available as Beta releases.
See the full release notes at Databricks Runtime 10.3 (EoS) and Databricks Runtime 10.3 for ML (EoS).
View information on recent job runs
January 25, 2022
You can now view in real time currently running and recently completed job runs in the Job runs page in the Databricks jobs user interface. See View recent job runs.
Use Markdown in Databricks Repos file editor
January 25-31, 2022: Version 3.64
The Databricks Repos file editor can now render markdown. For details, see Git integration for Databricks Git folders.
Improved cluster management for jobs that orchestrate multiple tasks
January 24, 2022
You can now reuse job clusters in your jobs that orchestrate multiple tasks. Cluster reuse allows you to reduce cluster resource usage by using a single cluster to run multiple tasks in a job run. See Schedule and orchestrate workflows.
Databricks Runtime 8.3 and Databricks Runtime 8.4 series support ends
January 20, 2022
Support for Databricks Runtime 8.3, Databricks Runtime 8.3 for Machine Learning, Databricks Runtime 8.4, and Databricks Runtime 8.4 for Machine Learning ended on January 20. See Databricks support lifecycles.
Databricks JDBC driver 2.6.22
January 18, 2022
We have released version 2.6.22 of the Databricks JDBC driver (download). This release upgrades the log4j library to version 2.17.1 and removes the slf4j-log4j12 dependency.
MLflow Model Serving on Databricks
January 10-18, 2022: Version 3.63
MLflow Model Serving on Databricks is now available on Google Cloud.
New Share button replaces Permissions icon in notebooks
January 10-18, 2022: Version 3.63
To change permissions on a notebook, use the new Share button 
in the notebook UI, or select Permissions from the drop-down menu. The Permissions icon in the notebook toolbar 
has been removed. For more information about setting notebook permissions, see Collaborate using Databricks notebooks.