Disco - Massive data, Minimal code
Disco is an implementation of the Map-Reduce framework for distributed computing. Like the original framework, which was publicized by Google, Disco supports parallel computations over large data sets on an unreliable cluster of computers. This makes it a perfect tool for analyzing and processing large datasets without having to bother about difficult technical questions related to distributed computing, such as communication protocols, load balancing, locking, job scheduling or fault tolerance, all of which are taken care by Disco.
See discoproject.org for more information.
Note: For installing Disco, you cannot use the zip or tar.gz packages generated by github, instead you should clone this repository.
The develop branch contains the newest features and is not recommended for use in production. The master branch is the latest stable release and is tested in production. Important bug fixes will be first merged into the develop branch and then backported into the master branch.
Build Status: Travis-CI ::