Industry-wide Data Collaboration
Free Greenplum Database Edition, Open Source Analytic Algorithms from MADlib and Alpine Miner Visual Modeler.
Parallel-everything "Big Data" Stack
Unequaled speed enables analysts to perform next-generation data analytics and experiment with real-world data to create true innovations.
Greenplum Database: Community Edition
Delivers a no-cost, yet powerful and comprehensive analytic environment that enables users to turn increasingly large amounts of data into useful insight. Developers, data scientists and other data professionals can experiment with real-world data, perform advanced analytics and rapidly and easily reveal insights from big data sets.
Greenplum Database: Community Edition removes the cost barrier to entry for big data power tools by empowering large numbers of developers, data scientists and other data professionals. This free set of tools helps the community to better understand data, gain deeper insights and better visualize insights, and also contribute and participate in the development of next-generation tools and solutions.
With the Community Edition stack, developers can build complex applications to collect, analyze and operationalize big data by leveraging best-of-breed big data tools including the Greenplum Database with its in-database analytic processing capabilities.
Power to the People
Greenplum Database: Community Edition enables users to:
- Overcome data limitations - There are no limitations on the type or size of data users can process using the Community Edition.
- Simplify the analytics process - Greenplum's data computing capabilities allow users to rapidly build, tune and validate models on all the data rather than sample data.
- Visualize data - Alpine Miner allows users to visually define analytic processing and view results in graphs and charts.
- Quickly Experiment - Experience the power of the Greenplum CE in R&D environments for free. (A production license is required when used for internal data processing or any commercial or production purposes on servers larger than a single physical server with up to two (2) CPU sockets or a single virtual machine with up to eight (8) virtual CPU cores).
Whitepaper
Greenplum Database —Critical Mass Innovation
The continuing explosion in data sources and volumes strains and exceeds the scalability of traditional data management and analytical architectures.
Video
Customers Tell their Story: NYSE Euronext
Steve Hirsch, CDO of NYSE Europnext tells their Big Data story.
Case Study
Popular social network runs highly advanced analytics on "big data" sets to get insight at the speed of business.
Press Release
Industry-Wide Data Collaboration and Innovation is Enabled by Free EMC Greenplum Database Edition, Open Source Analytic Algorithms from MADlib, and Alpine Miner Visual Modeler
