Distributed cluster designed for processing terabytes of data in parallel.
In 2004, Google published a paper introducing its cutting edge distributed parallel big data computing architecture: MapReduce.
In 2006, Doug Cutting started a in house Java implementation of MapReduce called Hadoop at Yahoo.
In 2008, Yahoo released the first version of Hadoop for public usage, which significantly shaped modern distributed computing tecnologies.
In 2019, Harry, an open source evangelist, decided to create a Go implementation of MapReduce with the most cutting edge technologies stack and optimized performance in order to provide an alternative to Hadoop for Go developers and enterprise users.
Harry Liu - Initial work - byliuyang
This project is maintained under MIT license