Press Release

Greenplum Analytics Workbench Debuts at EMC World

Greenplum and Partners Launch 1,000 Node Platform to Accelerate Hadoop Testing and Development

Story Highlights

  • The Greenplum® Analytics Workbench - a 1,000-node cluster that will act as a lab environment for accelerating the pace of Big Data innovation - is now live.
  • EMC® Greenplum® will use the Analytics Workbench to test the limits of scale-out infrastructure technology, and also to re-define the models for applying Big Data analytics. Individuals or organizations looking for more information on access to the Analytics Workbench should visit http://www.greenplum.com/solutions/analytics-workbench.
  • Working with the Apache Software Foundation, results from the Analytics Workbench will be made available to the open source community in an effort to leverage the resources of the Greenplum Analytics Workbench to further accelerate the development of Hadoop® as a revolutionary technology for Big Data.
  • The Greenplum Analytics Workbench is the result of several hardware and software companies coming together to collectively facilitate the development of Apache&™ Hadoop® as an important tool for Big Data analytics, including EMC, Intel, Mellanox Technologies, Micron, Seagate, SuperMicro, Switch and VMware.
  • In a live simulcast event today at 2:45pm Pacific, EMC Chief Marketing Officer Jeremy Burton and Greenplum Senior Vice President of Products and Co-Founder Scott Yara will 'flip the switch' to the Greenplum Analytics Workbench on the EMC World stage in Las Vegas via satellite link to the Switch Data Center. Tune in live at https://community.emc.com/community/connect.

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EMC WORLD, LAS VEGAS, May 22, 2012 - 

At EMC World 2012, EMC (NYSE:EMC) today announced that the Greenplum Analytics Workbench - a 1,000-node cluster that will act as a lab environment for accelerating the pace of Big Data innovation - is now live. One of the primary uses of the Greenplum Analytics Workbench will be to act as an environment for running scale validation of the Apache Hadoop code base. Greenplum is actively working with the Apache Software Foundation to ensure that results from the Analytics Workbench are available to the open source community in an effort to leverage the resources of the Workbench to further accelerate the development of Hadoop as a revolutionary technology for Big Data. Technology from some of the world's leading software and hardware manufacturers is providing the infrastructure for the Greenplum Analytics Workbench.

Greenplum will use the Analytics Workbench to test the limits of scale-out infrastructure technology and also to explore the models for applying Big Data analytics. Whether that involves working with visionary academic institutions on data-intensive research studies, or collaborating with big data application developers, Greenplum has plans to provide the most innovative thinkers in the data space with access to the Analytics Workbench. Individuals or organizations interested in more information should visit http://www.greenplum.com/solutions/analytics-workbench.

The 1,000-node cluster will also be made available to members of Greenplum's training and certification classes for Hadoop. With the first publicly available courses launching this summer, Greenplum will offer a set of comprehensive Hadoop training programs designed to provide participants with the knowledge and programming skills required to leverage Hadoop. A unique aspect of Greenplum's Hadoop training program is that any individual who successfully completes the course will be granted access to the 1,000-node cluster to use as a sandbox environment.

The Greenplum Analytics Workbench is the result of several hardware and software companies coming together to collectively facilitate the development of Apache Hadoop as an important tool for Big Data analytics, including:

  • EMC
  • Intel
  • Mellanox Technologies
  • Micron
  • Seagate
  • SuperMicro
  • Switch
  • VMware

In addition to 1,000-plus hardware nodes (or 10,000 nodes with the addition of virtual machines), the test bed cluster consists of 24 petabytes of physical storage. This is the equivalent of nearly half of the entire written works of mankind, from the beginning of recorded history.

Customer Quotes:

Chaitan Baru, Director, Center for Large-scale Data Systems research (CLDS), San Diego Supercomputer Center, UC San Diego

"The Workshop on Big Data Benchmarking organized by the Center for Large-scale Data Systems Research (CLDS), UC San Diego on May 8-9 in San Jose has generated a lot of enthusiasm in developing industry benchmark standards for big data applications. A big data benchmarking community is now self-organizing in order to make progress in this area. Access to the 1000-node cluster from Greenplum will be essential in assisting the community in making progress in this important area, which will have impact in business as well as scientific applications."

Amir Prescher, vice president of business development at Mellanox Technologies

"Mellanox is excited to be a part of the largest Hadoop test bed cluster ever built and to provide the critical elements that help enable this leading unstructured data analytics Hadoop solution. The new Analytics Workbench takes advantage of Mellanox's 10/40GbE and FDR 56Gb/s InfiniBand interconnect solutions, including its Unstructured Data Accelerator (UDA) software that extends Mellanox's interconnect capabilities of low latency, high-throughput, low CPU overhead and Remote Direct Memory Access (RDMA), to optimize big data application efficiency with up to 2X faster Hadoop job run-time."

Wally Liaw, Vice President of Sales, International, Super Micro Computer, Inc.

"Supermicro has contributed to the 1,000 data node infrastructure and integration resources behind EMC's Greenplum Analytics Workbench to accelerate innovation and the development of new applications within the Hadoop developer community. Our enterprise-class server platforms offer the highest performance, open standards and cost-effective architecture for massive-scale structured and unstructured data analytics. We are excited to offer growing support to the worldwide Hadoop community as Big Data sciences expand."

Executive Quote:

Scott Yara, Senior vice president of products and co-founder, Greenplum

'We're thrilled to announce that the Greenplum Analytics Workbench is now live. With more companies implementing Big Data analytics than ever before, Hadoop-based batch processing of data at massive scale, with continuous testing, is a key component to driving even better, faster data analytics."

Availability

More information on the Analytics Workbench can be found at http://www.greenplum.com/solutions/analytics-workbench.

Greenplum, a division of EMC

Greenplum, a division of EMC, is driving the future of Big Data analytics with breakthrough products that harness the skills of data science teams to help global organizations realize the full promise of business agility and become data-driven, predictive enterprises. The division's products include Greenplum® Unified Analytics Platform, Greenplum® Data Computing Appliance, Greenplum® Database, Greenplum® Analytics Lab, Greenplum® HD and Greenplum® Chorus™. They embody the power of open systems, cloud computing, virtualization and social collaboration, enabling global organizations to gain greater insight and value from their data than ever before possible. Learn more at www.greenplum.com

About EMC

EMC Corporation is a global leader in enabling businesses and service providers to transform their operations and deliver IT as a service. Fundamental to this transformation is cloud computing. Through innovative products and services, EMC accelerates the journey to cloud computing, helping IT departments to store, manage, protect and analyze their most valuable asset — information — in a more agile, trusted and cost-efficient way. Additional information about EMC can be found at www.EMC.com.

Press Contacts

David Oro
Oro Group
415-885-9898
emc@orogroup.com

EMC, Greenplum, and Greenplum Chorus are trademarks or registered trademarks of EMC Corporation in the U.S. and other countries. Hadoop and Apache are trademarks or registered trademarks of The Apache Software Foundation. All other trademarks are the property of their respective owners.

Forward-Looking Statements
This release contains "forward-looking statements" as defined under the Federal Securities Laws. Actual results could differ materially from those projected in the forward-looking statements as a result of certain risk factors, including but not limited to: (i) adverse changes in general economic or market conditions; (ii) delays or reductions in information technology spending; (iii) the relative and varying rates of product price and component cost declines and the volume and mixture of product and services revenues; (iv) competitive factors, including but not limited to pricing pressures and new product introductions; (v) component and product quality and availability; (vi) fluctuations in VMware, Inc.'s operating results and risks associated with trading of VMware stock; (vii) the transition to new products, the uncertainty of customer acceptance of new product offerings and rapid technological and market change; (viii) risks associated with managing the growth of our business, including risks associated with acquisitions and investments and the challenges and costs of integration, restructuring and achieving anticipated synergies; (ix) the ability to attract and retain highly qualified employees; (x) insufficient, excess or obsolete inventory; (xi) fluctuating currency exchange rates; (xii) threats and other disruptions to our secure data centers or networks; (xiii) our ability to protect our proprietary technology; (xiv) war or acts of terrorism; and (xv) other one-time events and other important factors disclosed previously and from time to time in EMC's filings with the U.S. Securities and Exchange Commission. EMC disclaims any obligation to update any such forward-looking statements after the date of this release.

Notes: