Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

By combining Anaconda’s AI Platform delivering secure, curated open source Python packages with the scale, performance, and governance of the Databricks Data Intelligence Platform - enterprises ...

Databricks unveils tools and platforms to unify data science and engineering practices and accelerate development of AI models.

Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to ...

The partnership between Snowflake and Databricks is a welcome sign. It brings best of both the worlds through the combination of an enterprise data warehouse and predictive analytics platforms.

Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Databricks signs Series K term sheet at a $100 billion valuation to accelerate its AI strategy, expand Lakebase, and fuel ...

Databricks debuted LakehouseIQ for conversational querying of data and new Lakehouse AI tools to help enterprises build generative AI.