SINGAPORE and SAN FRANCISCO, Oct. 23, 2013 /PRNewswire/ --
- Pivotal today announced that it is bringing an in-memory transactional store to Hadoop with Pivotal GemFire XD that is tightly integrated with Pivotal HD, a commercially supported distribution of the Apache Hadoop stack.
- Available on November 1, 2013, as Pivotal HD 1.1, the offering comes as a read-write store allowing customers to build real time OLTP applications at cloud scale on top of Pivotal HD using Pivotal GemFire XD technology.
- This offering makes it the industry's first platform for closed loop analytics: Pivotal GemFire XD combines with HAWQ, which adds SQL's expressive power to Hadoop to provide the industry's first production quality platform for creating closed loop analytics solutions that combine OLTP and OLAP, using Hadoop as the common storage substrate.
- The announcement of Pivotal HD 1.1 with GemFire XD comes just three weeks in advance of the highly anticipated launch of Pivotal's revolutionary Enterprise PaaS on November 12, 2013. Registration for the launch can be found at www.gopivotal.com/ThePlatform.
Pivotal, the company at the intersection of big data, PaaS, and agile development, today announced that it is bringing an in-memory transactional store to Hadoop with Pivotal™ GemFire™ XD that is tightly integrated with Pivotal™ HD, a commercially supported distribution of the Apache Hadoop stack.
Pivotal HD 1.1 with GemFire XD provides a read-write store allowing customers to build real-time OLTP applications at cloud scale on top of Hadoop. In Pivotal HD Enterprise, Pivotal GemFire XD in-memory data service combines with the Pivotal™ HAWQ™ query engine, which adds SQL's expressive power to Hadoop to provide the industry's first production quality platform for creating closed loop analytics solutions that combine OLTP and OLAP, using Hadoop as the common storage substrate. The Pivotal GemFire XD product brings to Hadoop the enterprise-tested GemFire technology that powers some of the most mission critical data-driven applications available, including financial services, federal government, logistics and eCommerce portals.
Businesses today need to take in a huge amount of data from varied sources, process it immediately, and use it to make critical business decisions. Failing to act on data in real-time can lead to lost sales, oversupply of inventory, and missed windows of opportunity that can threaten the very survival of the business. This trend is even more pronounced as the Hadoop Distributed File System (HDFS) becomes the data substrate for the next generation of data infrastructures. Already a set of integrated, enterprise-scale services are evolving on top of HDFS – stream ingestion, analytical processing, and transactional serving. Pivotal GemFire XD marries a SQL in-memory data grid with Hadoop to offer high scale and makes it suitable for operational environments. When combined with Pivotal HD and HAWQ technology, enterprises can act and react in ways not achievable with traditional or existing solutions.
By combining the real day-to-day events of a business with the analytics systems that monitor business behavior, customers can act prescriptively to events while they are happening, or even predict events before they happen.
Availability and Pricing
Pivotal HD 1.1 with Pivotal GemFire XD is expected to available on November 1, 2013. More at http://www.gopivotal.com/pivotal-products/data/pivotal-hd.
Josh Khlar, Vice President, Product Management, Pivotal
"Enterprise customers are asking for the ability to correlate and leverage data across batch data warehouses, Hadoop file systems and transaction databases in real time. With Pivotal HD and GemFire XD, we are bringing them proven advanced data technologies to begin leveraging existing systems and common languages in entirely new ways."
Pivotal, committed to open source and open standards, is a leading provider of application and data infrastructure software, agile development services, and data science consulting. Pivotal's revolutionary Enterprise PaaS product, powered by Cloud Foundry, will be available in Q4 2013. Learn more at www.gopivotal.com. Follow Pivotal on Twitter @gopivotal, LinkedIn, and G+.
©2013 GoPivotal, Inc. All rights reserved. Pivotal, Pivotal HAWQ, GemFire and Cloud Foundry are trademarks and/or registered trademarks of GoPivotal, Inc. in the United States and/or other Countries.
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 the filings EMC Corporation, the parent company of Pivotal, with the U.S. Securities and Exchange Commission. EMC and Pivotal disclaim any obligation to update any such forward-looking statements after the date of this release.