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Disco MapReduce

Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...

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Disco is an implementation of mapreduce for distributed computing. Disco supports parallel computations over large data sets, stored on an unreliable cluster of computers, as in the original framework created by Google. This makes it a perfect tool for analyzing and processing large data sets, without having to worry about difficult technicalities related to distribution such as communication protocols, load balancing, locking, job scheduling, and fault tolerance, which are handled by Disco.

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cluster distributed mapreduce python

Disco MapReduce (sometimes referred to as Disco) was added by nakedhitman in Apr 2015 and the latest update was made in Sep 2018. The list of alternatives was updated Oct 2015 There is a history of all activites on Disco MapReduce in our Activity Log. It's possible to update the information on Disco MapReduce or report it as discontinued, duplicated or spam.

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Alternatives to Disco MapReduce for all platforms with any license

Apache Hadoop

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Apache Spark

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Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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Apache Flink

Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.

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dispy

dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a...

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HPCC Systems

HPCC Systems offers an open source cluster computing platform used to solve Big Data problems. Its unique architecture and simple yet powerful data programming language...

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