Apache Spark, the in-memory and real-time data processing framework for Hadoop, turned heads and opened eyes after version 1.0 debuted. The feature changes in 1.2 show Spark working not only to ...

This guest post comes courtesy of Tony Baer's OnStrategies blog. Baer is a principal analyst covering Big Data at Ovum. If it seems like we've been down this path before, well, maybe we have. June has ...

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 ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

Listen in on any conversation about big data, and you’ll probably hear mention of Hadoop or Apache Spark. Here’s a brief look at what they do and how they compare. 1: They do different things. Hadoop ...