To use Databricks Lakehouse effectively through its own interfaces, you need to know SQL and be able to program in at least one of its supported languages: Python, Scala, or R.

Databricks SQL specifically, and the lakehouse architecture generally, use data lake technology at the core, combined with enhancements -- like ACID compliance, writeback, and vector processing ...

One interesting thing about Databricks SQL is that it supports different cluster types than are made available for other Databricks workloads.

Customers may use the Databricks SQL Editor to run queries on Lakebase data. Meanwhile, custom applications deployed on the company’s platform using the Databricks Apps tool can likewise access ...

Databricks, a San Francisco-based company that combines data warehouse and data lake technology for enterprises, said yesterday it set a world record for data warehouse performance.

See whether Databricks or Snowflake is the better ETL tool for you using our comprehensive guide to compare their features, pricing and more.

It’s been a wild week for investors clawing their way into Databricks' record-breaking $10 billion fund raising, one of the VCs told TechCrunch.