The quest to replace Hadoop’s aging MapReduce is a bit like waiting for buses in Britain. You watch a really long time, then a bunch come along at once. We already have Tez and Spark in the mix, but ...

The in-memory batch-processing framework sheds more JVM performance bottlenecks as a major Hadoop vendor eyes Spark as a full-blown replacement for the aging MapReduce Apache Spark, the in-memory data ...

Many organizations are looking to maximize competitive advantage by using Apache Spark, a highly versatile cluster-computing framework that is widely viewed as the successor to Apache MapReduce.

The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and efficiently ...

A team of professors that has created the in-memory Spark and Shark platforms for analyzing big data has raised nearly $13.9 million to commercialize those products. The company is still in stealth ...