Discover how the Apache Spark streaming analytics engine can make sense of your big data.

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 announced.

Amazon Athena now supports the open-source distributed processing system Apache Spark to run fast analytics workloads. Data analysts and engineers can use Jupyter Notebook in Athena to perform ...

Apache Spark is best known as the in-memory replacement for MapReduce, the disk-based computational engine at the heart of early Hadoop clusters. That Spark kicked MapReduce out of the Hadoop nest was ...

The Apache Spark open-source in-memory computing framework is the focus of a number of new initiatives just unveiled by Hortonworks.

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

In his keynote at Spark Summit East last week, Spark creator Matei Zaharia said the new Structured Streaming API that will debut later this year in Spark 2.0 will enable the creation of applications ...

Apache Spark, the data processing and analytics engine, is one of the fastest growing open source projects ever, says IBM's Joel Horwitz.

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark ...

Compared to open source streaming engines like Apex, Storm, or Heron, Flink does more than streaming. It is more like the reverse image of Apache Spark in that both put real-time and batch on the ...