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.

Hortonworks

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

Talend

Pentaho

Jaspersoft