Disco MapReduce Alternatives
Disco MapReduce
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.
Best Open Source Disco MapReduce Alternatives
Need an alternative to Disco MapReduce? Read on. We've looked at the best Disco MapReduce alternatives available for Windows, Mac and Android.
Apache Hadoop
FreeOpen SourceMacWindowsLinuxApache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to...
Features:
- Developer Tools
- Distributed Computing
- Web Development
Apache Spark
FreeOpen SourceMacWindowsLinuxApache Spark™ is a fast and general engine for large-scale data processing. Speed Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on...
Features:
- Machine Learning
- Data analytics
- Parallel Computing
Apache Flink
FreeOpen SourceMacWindowsLinuxBSDFlink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Features:
- Data analytics
- Machine Learning
HPCC Systems
FreeOpen SourceLinuxHPCC Systems offers an open source cluster computing platform used to solve Big Data problems. Its unique architecture and simple yet powerful data programming language...
Features:
- Business Intelligence
- Machine Learning
- Parallel Computing
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