The company expanded its Microsoft Azure AI integrations and deployed Google’s Gemini models as it continued to forge agentic ...

While Snowflake and Databricks appear to be placing their bets on Postgres, TiDB CTO Ed Huang believes it is MySQL that will ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and ...

Informatica, an AI-powered enterprise cloud data management leader, is expanding its collaboration with Databricks-becoming a launch partner for two major innovations from Databricks: Managed Iceberg ...

Databricks One was launched on a hectic day for the company, which also debuted a new agentic AI platform called Mosaic Agent ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks One offers a simple, code-free environment that lets teams—from marketing to legal—generate powerful AI-driven ...

Databricks, the Data and AI company, today announced a $100 million investment in global data and AI education, aimed at closing the industry-wide talent gap and preparing the next generation of data ...

Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL capability lets non-technical users author production data pipelines using a visual ...

In 2015, when Hadoop was still important, but Spark was on the rise because of the low speed of running SQL queries against HDFS, Databricks told us that there were over 500 companies running Spark in ...

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community ... warehouse runs about 5 billion queries per day on SQL,” ...

Got this error ImportError: cannot import name 'sql' from partially initialized module 'databricks' (most likely due to a circular import) PS C:\Projects\Python ...