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 Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for ...

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

Databricks and Snowflake came from data lake and data warehousing worlds, respectively, and are now battling in the lakehouse.

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 ...

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

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