Datawatch Announces Hadoop Support To Deliver Greater Data Variety For Big Data Applications
Datawatch Joins MapR Advantage Partner Program
CHELMSFORD, Mass., Feb. 7, 2013 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of information optimization software and services, today announced support for Hadoop and Hive with the release of Datawatch Data Pump 11.6. Semi-structured data such as complex reports, machine data, EDI streams, high volume print output, text and PDF formats remain very difficult to process in Hadoop, but now Datawatch can provide business analysts and those most familiar with the data, the ability to take advantage of the massive scale offered by Hadoop's distributed architecture. This support continues to expand Datawatch's ability to deliver the greatest data variety for Big Data and business intelligence solutions.
"Our ability to access and store information in Hadoop represents a significant step forward in our ability to support Big Data applications," said Jon Pilkington, Vice President of Products for Datawatch. "As organizations look to leverage a greater variety of information stored in Big Data systems, like Hadoop, Datawatch's ability to access and extract value from these sources provides a critical component to their applications."
Datawatch also announced its participation in the MapR Advantage Partner Program with support for loading data directly into Hive on MapR, in addition to moving data to Hadoop via Direct Access NFS™. "MapR is a fast, easy to use Hadoop distribution, with excellent connectivity to the Windows platform via NFS making moving data much easier. With 5 9s availability, it can meet the needs of demanding enterprise customers," said Pilkington.
"We are very excited to have Datawatch join our community. We believe that Datawatch will increase the value of MapR customers' investment in Hadoop by bringing a great variety of trusted enterprise data into this high performance analytics environment," said Alan Geary, Senior Director of Business Development, MapR Technologies.
Datawatch Data Pump 11.6 and the associated components to the Datawatch Information Optimization Platform will be available later this month.
Click here to learn more about how Datawatch brings greater data variety to Big Data applications.
ABOUT DATAWATCH CORPORATION
Datawatch Corporation (NASDAQ-CM: DWCH) is a leader in providing information optimization products and solutions that allow organizations to deliver the greatest data variety possible into their big data and analytic applications. Datawatch provides organizations the ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files, and EDI streams into these applications to provide a 360 degree perspective of the issues and opportunities that exist in their businesses. More than 40,000 organizations worldwide use Datawatch's products and services, including 99 of the Fortune 100, and businesses of every type can benefit from the power and flexibility of Datawatch's industry leading solutions. Datawatch is headquartered in Chelmsford, Massachusetts with offices in London, Munich, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. For more information, visit www.datawatch.com.
Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995
Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements, including but not limited to those relating to results of operations, contained herein are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: risks associated with the continuing weak global economy; risks associated with fluctuations in quarterly operating results due, among other factors, to the size and timing of large customer orders; the volatility of Datawatch's stock price; limitations on the effectiveness of internal controls; rapid technological change; Datawatch's dependence on the introduction of new products and possible delays in those introductions; competition in the software industry generally, and in the markets for information optimization in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales; risks associated with indirect distribution channels; the adequacy of Datawatch's sales returns reserve; risks associated with a subscription sales model; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies; Datawatch's dependence on its ability to hire and retain skilled personnel; disruption or failure of Datawatch's technology systems that may result from a natural disaster, cyber-attack or other catastrophic event; and uncertainty and additional costs that may result from evolving regulation of corporate governance and public disclosure. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company's Annual Report on Form 10-K for the year ended September 30, 2012. Any forward-looking statements should be considered in light of those factors.
Datawatch Investor Relations
Phone: (978) 441-2200 ext. 8323
© 2013 Datawatch Corporation. Datawatch, Monarch and their respective logos are trademarks or registered trademarks of Datawatch Corporation in the United States and/or other countries. All other names are trademarks or registered trademarks of their respective companies.
SOURCE Datawatch Corporation
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