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

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Image: Databricks After running its Apache Spark-based cloud platform in a closed user program for the past year, Databricks says the service is now publicly available for the first time.. The ...

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 Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...

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 ...

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...

Apache Spark 2.0 technical preview is available in the Databricks Community Edition ...