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It was not easy to select a few out of many Open Source projects. My objective was to choose the ones that fit Big Data’s needs most. What has changed in the world of Open Source is that the big players have become stakeholders; IBM’s alliance with Cloud Foundry, Microsoft providing a development platform for Hadoop, Dell’s Open Stack-Powered Cloud Solution, VMware and EMC partnering on Cloud, Oracle releasing its NoSql database as Open Source.
“If you can’t beat them, join them”. History has vindicated the Open Source visionaries and advocates.
Cloud Foundry -- By VMware
OpenStack -- Worldwide participation and well-known companies
fusion-io -- Not open source, but very supportive of Open Source projects; Flash-aware applications.
REEF -- Microsoft's Hadoop development platform
Lingual -- By Concurrent
Pattern -- By Concurrent
Python -- Awesome programming language
Mahout -- Machine learning programming language
Impala -- Cloudera
R -- MVP among statistical tools
Storm -- Stream processing by Twitter
LucidWorks -- Search, based on Apache Solr
Giraph -- Graph processing by Facebook
MongoDB, Cassandra, Hbase
MySql -- Belongs to Oracle
MariaDB -- Partnered with SkySql
PostgreSQL -- Object Relational Database
TokuDB -- Improves RDBMS performance
Red Hat -- The defacto OS for Hadoop Servers