6Open Source (From

  1. The Google MapReduce framework is implemented in C++ with interfaces in Python and Java .
  2. The Hadoop project is a free open source Java MapReduce implementation.
  3. Twister is an open source Java MapReduce implementation that supports iterative MapReduce computations efficiently.
  4. Greenplum is a commercial MapReduce implementation, with support for Python, Perl, SQL and other languages.
  5. Aster Data Systems Cluster In-Database MapReduce supports Java, C, C++, Perl, and Python algorithms integrated into ANSI SQL. GridGain is a free open source Java MapReduce implementation.
  6. Phoenix is a shared-memory implementation of MapReduce implemented in .
  7. Plasma MapReduce is an open source MapReduce implementation in Ocaml with its own distributed filesystem, PlasmaFS.
  8. FileMap is an open version of the framework that operates on files using existing file-processing tools rather than tuples.
  9. MapReduce has also been implemented for the Cell Broadband Engine , also in Mars : MapReduce has been implemented on NVIDIA GPUs (Graphics Processors) using CUDA  .
  10. Qt Concurrent is a simplified version of the framework, implemented in C++ , used for distributing a task between multiple processor cores .
  11. CouchDB uses a MapReduce framework for defining views over distributed documents and is implemented in Erlang .
  12. Skynet is an open source Ruby implementation of Google’s MapReduce framework
  13. Disco is an open source MapReduce implementation by Nokia . Its core is written in Erlang and jobs are normally written in Python .
  14. Misco is an open source MapReduce designed for mobile devices and is implemented in Python .
  15. Qizmt is an open source MapReduce framework from MySpace written in C# .
  16. The open-source Hive framework from Facebook (which provides an SQL-like language over files, layered on the open-source Hadoop MapReduce engine.)
  17. The Holumbus Framework : Distributed computing with MapReduce in Haskell Holumbus-MapReduce
  18. BashReduce : MapReduce written as a Bash script written by Erik Frey of
  19. Sector/Sphere which is implemented in C++ .06
  20. MapReduce for Go
  21. MongoDB is a scalable, high-performance, open source, schema-free, document-oriented database. Written in C++ that features MapReduce
  22. mapReduce provides R-like implementation that demostrates the simplicity of the mapReduce pattern in a functional programming language.
  23. RHIPE integrates the statistics language environment with Hadoop  and makes it possible to code map-reduce algorithms in R.
  24. Parallel::MapReduce is a CPAN module providing experimental MapReduce functionality for Perl.
  25. Many companies have their own private MapReduce implementations.