December 2018

  • Article

These features and Azure Databricks platform improvements were released in December 2018.

Note

The release date and content listed below only corresponds to actual deployment of the Azure Public Cloud in most case.

It provide the evolution history of Azure Databricks service on Azure Public Cloud for your reference that may not be suitable for Azure operated by 21Vianet.

Note

Releases are staged. Your Azure Databricks account may not be updated until up to a week after the initial release date.

Databricks Runtime 5.1 for Machine Learning (Beta) release

Dec 18, 2018

Databricks Runtime 5.1 ML is built on top of Databricks Runtime 5.1. For information on what's new in Databricks Runtime 5.1, see the Databricks Runtime 5.1 (EoS) release notes. In addition to the updates to existing libraries in Databricks Runtime 5.0 ML (EoS), Databricks Runtime 5.1 ML includes the following new features:

  • PyTorch for building deep learning networks.

See the complete release notes for Databricks Runtime 5.1 ML (EoS).

Databricks Runtime 5.1 release

December 18, 2018

Databricks Runtime 5.1 is now available. Databricks Runtime 5.1 includes Apache Spark 2.4.0, new Delta Lake and Structured Streaming features and upgrades, and upgraded Python, R, and Java and Scala libraries. For details, see Databricks Runtime 5.1 (EoS).

Library UI

The library UI update originally released in version 2.85 was reverted on December 7, 2018.