Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Azure ML is the winner for Microsoft and Azure shops, but for every other integration, Databricks reigns supreme. Microsoft does a good job connecting its various ecosystems together.

Databricks can run Python, Spark Scholar, SQL, NC SQL, and other platforms. It comes packaged with its own user interface as well as ways to connect to endpoints such as JDBC connectors.

Microsoft has announced that Azure Databricks is now available to the general public. With Azure Databricks, Microsoft has laid emphasis on productivity, scalability, and security.

Azure Databricks, which is delivered ... How to deploy AI agents with the Google Agent Development Kit for Python. Jun 10, 2025 4 mins. Python. video. Python 3.14's new template string feature ...