EMC Corporation (NYSE: EMC), the world leader in information infrastructure solutions, today introduced a free Community Edition of the EMC® Greenplum® Database, the industry-leading, high-performance massively parallel processing (MPP) database product, along with free analytic algorithms and data mining tools. The announcement is being made today at the 2011 O'Reilly Strata Conference (Feb 1-3, 2011) in Santa Clara, CA, where Scott Yara, vice president, EMC Data Computing Products Division, will speak. Free downloads are immediately available at http://community.greenplum.com.
Building on earlier Greenplum “Big Data” breakthroughs, like the EMC Greenplum Data Computing Appliance, the new EMC Greenplum Community Edition removes the cost barrier to entry for big data power tools empowering large numbers of developers, data scientists, and other data professionals. This free set of tools enables the community to not only better understand their data, gain deeper insights and better visualize insights, but to 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 leveraging best of breed big data tools including the Greenplum Database with its in-database analytic processing capabilities.
“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,” explained Luke Lonergan, CTO and vice president, EMC Data Computing Products Division and co-founder of Greenplum. “This project is about empowering developers – they can program using the most popular tools and they have a place to contribute open source extensions to the stack.”
The free EMC Greenplum Community Edition includes:
- Greenplum Database CE, an industry-leading massively parallel processing (MPP) database product for large-scale analytics and next-gen 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, is an intuitive visual data mining modeler that delivers rapid "modeling to scoring" capabilities, leverages in-database analytics, and is purpose-built for "big data" applications.
The initial release of the EMC Greenplum Community Edition is designed for both first-time users and experienced Greenplum customers. First-time users gain access to a comprehensive, purpose-built business analytics environment that enables them to view, modify and enhance included demo data files, enabling experimentation with “Big Data” analytical tools within the Greenplum database. Existing users can download an upgraded version of Greenplum Database CE and analytic tools for integration into their development and research environments.
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. All users are free to participate in new Greenplum Community Forums to get support, collaborate, post ideas, and test enhancements developed by various users independently.
Starting February 1, 2011, the EMC Greenplum Community Edition can be downloaded free of charge from http://community.greenplum.com. Regular Community Edition updates will be made available online. The Community Edition is intended for experimentation, development and research purposes only. Current Single-Node Edition users can deploy the new Community Edition in their single-node production environments. Greenplum commercial licenses must be purchased prior to using code for internal data processing or for any commercial or production purpose.
MADlib (magnetic, agile and deep) is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. MADlib is designed to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research and open-source development.
EMC Greenplum Database utilizes a shared-nothing massively parallel processing (MPP) architecture designed from the ground up for business intelligence and analytical processing on commodity hardware. Data is automatically partitioned across multiple segment servers, and each segment owns and manages a distinct portion of the overall data. This 'shared-nothing' architecture means that all communication is done through a network interconnect and there are no disk-level sharing or contention issues to address. More information about Greenplum Database is available at www.greenplum.com/products/greenplum-database.
EMC Corporation (NYSE: EMC) is the world's leading developer and provider of information infrastructure technology and solutions that enable organizations of all sizes to transform the way they compete and create value from their information. Information about EMC's products and services can be found at www.EMC.com.