Chelmsford, Mass.—Oct 20, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, today announced its visual data discovery capabilities are available to customers of Teradata Corporation (NYSE: TDC), the big data analytics and marketing applications company.
Datawatch will demonstrate its ability to unlock data in multi-structured sources like documents, PDFs and log files, consume data-in-motion and perform deep analytics against data-at-rest in a Teradata data warehouse this week at the Teradata 2014 PARTNERS Conference and Expo in Nashville, Tenn. in booth 714.
The partnership enhances the Teradata Unified Data Architecture, enabling new ways to discover and visualize data in Teradata data warehouses. Datawatch software uniquely integrates with Teradata in two ways: it connects directly to data from a Teradata database and Teradata OLAP for advanced visualization, and it feeds Teradata warehouses a variety of multi-structured data like documents and machine data for more comprehensive analytic capabilities.
Datawatch also lets users join information in the Teradata database with real-time streaming data. For example, it allows users to monitor and visualize data in-motion, such as machine and sensor data streaming into a real-time warehouse, to see important events as they occur, and to join this data with intra-day and historic data from Teradata to make timely, better informed decisions.
“Teradata cultivates strong partnerships with vendors like Datawatch as part our long-term strategy to deliver end-to-end analytic solutions,” said Scott Collins, global alliances vice president, Teradata. “Adding Datawatch’s streaming data discovery capabilities to our partner portfolio will help customers make faster and more accurate business decisions.”
Datawatch lets business professionals access, visualize and analyze data from any source — including streaming data — to make faster and more accurate business decisions. The technology also enables organizations to access all their data — structured, semi-structured and unstructured
— and explore it with visual analytics to identify trends, spot outliers and identify opportunities.
“Datawatch fits seamlessly into the Teradata Unified Architecture in a variety of ways,” said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch. “Our ability to acquire, prepare, integrate and visualize both data-in-motion as well as do deeper
analytics against data-at-rest in a Teradata warehouse is significant in itself. But when you combine that with the ability to unlock data in multi-structured sources, Datawatch becomes a truly unique and comprehensive solution for Teradata customers.”
Visit Datawatch at Booth # 714 at the Teradata 2014 PARTNERS Conference and Expo October 19- 23, 2014 Gaylord Opryland in Nashville, Tenn.
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 93 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 datawatch.imarc.io/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 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 quarterly report on Form-10Q for the quarters ended December 31, 2013, March 31, 2014 and June 30, 2014. Any forward-looking statements should be considered in light of those factors.
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Investor Contact: Datawatch Investor Relations firstname.lastname@example.org
Phone: (978) 441-2200 ext. 8323
Sarah Bernardi Datawatch Corporation
Sarah_Bernardi@datawatch.com Phone: (978) 441-2200 ext. 8387
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