Databricks wants to make it possible to take humans out of the loop entirely when it comes to running complicated data analysis jobs. The company, which offers a commercial version of Spark, now ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Sophie Koonin discusses the realities of ...

Databricks, the company founded by the creators of Apache Spark—the powerful open-source processing engine that provides blazingly fast and sophisticated analytics—announced today the launch of ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

Apache Spark's powerful open-source platform enables high-speed data processing for large and complex datasets. The joint benchmarking used the k-core decomposition algorithm of Spark's GraphX ...

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, ...

Writing Spark applications Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications. Spark comes with a choice ...

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...