Databricks today released benchmark results for Apache Spark running the Sort Benchmark, a competition for measuring the sorting performance of large clusters. Spark running on Hadoop sorted 100 TB of ...

Pentaho today announced it’s supporting Apache Spark with its suite of data analytic tools. While supporting Spark gives Pentaho performance advantages over MapReduce when executing data ...

Hadoop is entering a new chapter in its evolution with the launch of an ambitious community effort from Cloudera Inc. that aims to replace MapReduce as its default data processing engine. The proposed ...

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, 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 ...

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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 ...

Apache Spark, the widely used open source cluster computing framework featuring a general processing engine for Big Data analytics, has reached version 2.0, the Apache Software Foundation (ASF) ...

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 ...