Ray Offers an Alternative to Spark

Wednesday Apr 12th 2017 by Developer.com Staff
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The new open source project could speed up machine learning.

University of California Berkeley's RISELab is working on a new open source project called Ray that could offer an alternative to Spark. Ray is a distributed, low-latency, real-time processing framework that aims to be faster than Spark.

Ray is based on Python and uses a Redis server to keep track of system state. It is meant to be used for machine learning use cases. It is currently a pre-alpha release.

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