Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced they have developed ...

Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known ...

Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known ...

Popular Languages, Components (source: Databricks) It was the increased usage of SQL, streaming and ML that caught Databricks eye, though. "Since last year, the use of Spark components in production ...

The Spark core supports APIs in R, SQL, Python, Scala, and Java. Additional Spark modules include Spark SQL and DataFrames; Streaming; MLlib for machine learning; and GraphX for graph computation.

Using Databricks Photon SQL engine with spot instances brought the Price/Performance metric for a 100TB TPC-DS decision support benchmark down to $146, which is roughly 12 times better than the ...

No SQL engine supports the breadth of the ANSI standard out of the box, and Spark SQL’s ANSI journey has been a work in progress. With Spark 3.0, the engine gains closer adherence to the standard. The ...

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.