This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases. Apache Spark and Apache Hadoop are both popular, open-source data science ...

Apache Spark, which has been shaking up the Apache Hadoop ecosystem for a couple years now, will come of age this year, moving from a talking point into enterprise deployment, according to a new ...

June was an exciting month for Apache Spark. At Hadoop Summit San Jose, it was a frequent topic of conversation, as well as the subject of many session presentations. On June 15, IBM announced plans ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

Once, Hadoop and MapReduce were nearly synonymous, but today, Spark is the framework of choice for a new wave of big data practitioners Hadoop has never been in more desperate need of a lift than now.

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 ...

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 ...

I spoke briefly about the evolution of modern data apps in a previous Forbes piece on the use of big data in the cloud. Essentially, the history of big data can be divided into thread broad ...

Hortonworks puts its development expertise into bolstering Spark, Hadoop's in-memory processing system, to craft a next-generation tool In the post, Hortonworks says it has “outlined a set of ...

The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...