Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Databricks, the company founded by the team that created ...

The cloud-hosted environment, described by Databricks as being deployed by more than 150 firms, aims to simplify the use of the open-source cluster compute engine and cut the time spent developing, ...

SAN FRANCISCO, March 6, 2018 — Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark, today announced the availability of Apache Spark 2.3.0 ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...

Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...

Databricks today announced a new big data platform called the Databricks Cloud that will allow users to leverage Apache Spark technology to build end-to-end pipelines that underlie advanced analytic ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks is giving users a set of new tools for big data processing ...

Databricks Inc., 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, ...

Databricks Inc., the leading commercial entity behind the Apache Spark, the open source cluster computing framework for Big Data processing, last week dropped a few hints about some of the new ...