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 ...

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 ...

Unveiled last June, the Apache Spark cloud-hosted platform from Databricks has now opened its doors for business.

IBM has jumped on the Apache Spark bandwagon, revealing it would throw its considerable weight behind the open source in-memory processing framework that has been gaining momentum over the last year.

Hydrolix, the company transforming the economics of log data with its streaming data lake platform, is unveiling a new Apache Spark connector that democratizes the power of Databricks to customers' ...

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 ...

Spark also has an API set that allows it to interface with applications written in Python, Scala, Java, SQL, and R in a consistent manner. So Spark it is a natural thing to add to a commercial Hadoop ...

Databricks, the primary commercial steward of the open source Apache Spark project for Big Data analytics, has upgraded its Spark-based platform, adding support for the R programming language, access ...

Databricks is a San Francisco-based startup founded by the team that developed the popular open-source Apache Spark data-processing framework at the University of California-Berkeley.