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 ...

SAN FRANCISCO, Calif., July 1 – Alteryx and Databricks today announced they are collaborating to drive the value of Apache Hadoop and Spark into the hands of everyday analysts. These companies will ...

At the Hadoop World conference in New York City last fall, much of the excitement was around another big data crunching technology —Apache Spark. Full house with people standing during Spark talk.

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 ...

For now, MapR seems to be sitting on the sidelines of the “My Hadoop distro is better than yours” game, and as Jack Norris, the company’s CMO puts it, “we’re concentrating on doing what’s best for our ...

Yeah, Spark is still hot. It's seeing tremendous growth in contributing developers, user roles, applications, usage cases and just about every other Big Data metric you can think of, according to a ...

MapR Technologies Inc. yesterday announced it had added the Apache Spark technology stack to its Hadoop distribution, one of the leading tools in the fast-growing arena of Big Data analytics. "We are ...

Alteryx and Databricks has announced they are collaborating to drive the value of Apache Hadoop and Spark into the hands of everyday analysts. These companies will become the primary committers to ...