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

Spark SQL is the Databricks-developed SQL query engine in Apache Spark, an open-source processing engine that is the most active project in the Big Data ecosystem with over 325 contributors in the ...

Big data vendor Databricks unveiled SQL Analytics for running SQL queries on data lake systems as an alternative to data warehouses.

Together, these Spark 3.0 enhancements deliver an overall 2x boost to Spark SQL’s performance relative to Spark 2.4. But according to Databricks, on 60 out of 102 queries, the speedups ranged from 2x ...

Big data startup Databricks keeps humming along, announcing on Monday a large round of venture capital and a new cloud service that aims to seed adoption of Spark -- a framework it says is faster ...

The firm founded by the creators of the Spark in-memory data-processing framework has improved its hosted platform to cut time spent developing and managing complex workloads.

Databricks, a startup that provides support for the popular open-source Apache Spark project, will keep pushing the technology for speedily analyzing lots of data and releasing new products based ...

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 ...

Apache Spark 2.0 is now generally available on the Databricks data platform. The company touts five to 10x performance increases over Spark 1.6 and new support for continuous applications with ...