Datawatch Brings Real-Time Visual Data Discovery to Cloudera Enterprise 5
CHELMSFORD, Mass., June 18, 2014 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, announced today that it has teamed with Cloudera to bring real-time visual data discovery capabilities to users of Cloudera Enterprise 5, the company's next generation Hadoop-powered enterprise platform that serves as an integral component of enterprise data hubs globally.
The technology integration is part of Datawatch's new certification in the Cloudera Connect partner program, which makes it easier for Apache Hadoop technology buyers to purchase the right software applications to extract the most value from their data.
"Businesses today understand that they need to become data-driven to compete effectively," said Tim Stevens, vice president, Business and Corporate Development at Cloudera. "Integrating advanced visual data discovery capabilities allows Cloudera Enterprise 5 users to easily access, understand and act upon their data and become information-driven organizations."
The partnership will create an integrated data discovery environment so Cloudera users can visualize any kind of data at real-time speeds. This visually enhanced enterprise data hub can be deployed where and how organizations need in order to maximize efficiency. Datawatch worked with Cloudera to integrate, test and certify its technology, so that it works seamlessly with Cloudera Enterprise 5, the most complete and popular platform powered by Apache Hadoop.
"For businesses to benefit from the data that they are collecting, they need timely, meaningful insight into that information," said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances, Datawatch. "The combination of Datawatch and Cloudera delivers the type of enterprise-wide access and insight agility that users need to get real business value out of their data," he added.
A true, next-generation visual data discovery platform, Datawatch is uniquely able to leverage all of the structured and unstructured data within an organization, including true real-time and streaming sources. Datawatch lets users overlay historical data onto feeds that are being visualized in real time - before the data is stored - to see and contextualize how their business is behaving in the moment.
About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) provides visual data discovery software that optimizes any data – regardless of its variety, volume, or velocity – delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets. Organizations of every size, worldwide use Datawatch products, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide. See the Whole Story for yourself by downloading the free trial at www.datawatch.com/trial.
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; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; 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 next generation analytics in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; the adequacy of Datawatch's sales returns reserve; risks associated with a subscription sales model; 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, 2013 and Form 10-Q for the quarter ended December 31, 2013. Any forward-looking statements should be considered in light of those factors.
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