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Spark and Storm face new competition for real-time Hadoop processing

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Spark and Storm face new competition for real-time Hadoop processing Posted: Jun 9, 2015 2:25 PM
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Real-time processing of streaming data in Hadoop typically comes down to choosing between two projects: Storm or Spark. But a third contender, which has been open-sourced from a formerly commercial-only offering, is about to enter the race, and like those components, it may have a future outside of Hadoop.

DataTorrent RTS (real-time streaming) has long been a commercial offering for live data processing apart from the family of Apache Foundation open source projects around Hadoop. But now DataTorrent (the company) is preparing to open-source the core DataTorrent RTS engine, offer it under the same Apache 2.0 licensing as its competitors, and eventually contribute it to the Apache Foundation for governance.

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