EMC Greenplum Offers Community Edition Of Big Data Tools
EMC Corp. has launched a free community edition of its Greenplum Database, a high-performance massively parallel processing (MPP) database product, along with free access to “big data” power tools for analytic algorithms and data mining.
EMC Corp. has launched a free community edition of its Greenplum Database, a high-performance massively parallel processing (MPP) database product, along with free access to “big data” power tools for analytic algorithms and data mining.
“Our new Community Edition provides a parallel-everything “Big Data” stack with unequaled speed that enables analysts to perform next-generation data analytics and experiment with real-world data, and most importantly—innovate,” said Luke Lonergan, CTO and vice president, EMC Data Computing Products Division and co-founder of Greenplum, in a statement.
The new community edition big data project is about empowering developers by allowing them to program using the most popular tools, while giving them a place to contribute open source extensions to the stack.
“Our Community Edition provides a parallel-everything “Big Data” stack that enables analysts to perform next-generation data analytics.”
Luke Lonergan
CTO and vice president
Data Computing Products Division
EMC
Download the EMC Greenplum community edition here.
- Greenplum Database CE, a massively parallel processing (MPP) database product for large-scale analytics and next-generation data warehousing;
- MADlib, the open source analytic algorithms library, providing data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data;
- Alpine Miner, an up-and-coming third party analytics tool, which is an intuitive visual data mining modeler that delivers rapid “modeling to scoring” capabilities, leverages in-database analytics, and is built specifically for “big data” applications.
The Community Edition can be downloaded as a pre-configured VMWare virtual appliance for use on laptops and desktops, or as a set of packages for deployment on user machines.









