Hadoop software and services firm Hortonworks says the plans it outlined today for Apache Spark are designed to make the in-memory engine a better candidate for enterprise use. The company is focusing ...

The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

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) ...

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Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, ...

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 ...

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 saw 50 ...

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 ...

The folks at Databricks last week gave a glimpse of what’s to come in Spark 2.0, and among the changes that are sure to capture the attention of Spark users is the new Structured Streaming engine that ...

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