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.
Looking for the best programs similar to Disco MapReduce? Check out our top picks. Let's see if there are any Disco MapReduce alternatives that support your platform.
Apache Hadoop is a open source software framework that supports data-intensive distributed applications licensed under the Apache v2 license. It enables applications to...
Features:
Apache 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:
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Features:
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...
Features:
Add your reviews & share your experience when using Disco MapReduce to the world. Your opinion will be useful to others who are looking for the best Disco MapReduce alternatives.
Popular Alternatives
iOS Alternatives
Android Alternatives
Copyright © 2021 TopAlter.com
Sites we Love: AnswerBun, MenuIva, UKBizDB, Sharing RPP