Apache Spark is the tech du jour in Big Data right now. Its ability to provide speedy performance against huge volumes of data has made such a splash that some people are even beginning to question ...

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 ...

Apache Spark is making remarkable gains at the expense of the original Hadoop ecosystem. Here’s a guide to help decide between Spark and other Hadoop engines. Spark has been gaining major traction in ...

There’s been a lot of rhetoric around Apache Spark over the last few years. Back in the fall of 2014, some even suggested — only partly in jest — that the Hadoop World conference change its name to ...

Apache Spark with Java 8 is proving to be the perfect match for Big Data. Spark 1.0 was just released this May, and it’s already surpassed Hadoop in popularity on the Web. Java 8, the latest version, ...

Once, Hadoop and MapReduce were nearly synonymous, but today, Spark is the framework of choice for a new wave of big data practitioners Hadoop has never been in more desperate need of a lift than now.

SAN FRANCISCO, Calif., June 15 – MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced at Spark Summit the immediate availability of three new Apache ...

A rift is forming in the open-source ecosystem that may drastically alter the trajectory of modern analytics. Apache Spark, the speedy in-memory data crunching engine developed to take Hadoop beyond ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, ...