Chelmsford, MA—April 16, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, today announced the new 12.3 release of the Datawatch visual data discovery solution. This release further advances Datawatch’s leadership position in visualizing real-time, streaming data as well as its ability to deliver high value visualizations from unstructured data sources. Datawatch 12.3 offers users a series of new capabilities that makes developing and deploying visualizations faster and more powerful. Some of the highlights of this release include:
- Predictive and advanced analytics – built-in support for R and Python execution and transforms
- Intelligent Cache – high-performance, in-memory caching of data to support big data and sub-optimized databases
- Data governance and lineage – new server repository to store, version control, govern access to and provide lineage to a wide variety of source documents (Excel workbooks, PDF documents, )
- Expanded Big Data connectivity – high performance connectivity to Hadoop Hive (including Cloudera, MapR, HortonWorks) and Cassandra (including DataStax)
- Geospatial analysis – expanded map tiles library and new map plot for historic and in- motion visualization
- Connector to XMLA compliant OLAP sources – including Oracle Essbase and Microsoft SQL Server Analysis Server
- Enhanced Support for IBM Cognos TM1 – a new native connector to visualize data from a cube view, subset element, dimension subset or custom MDX query
“This release represents a significant step forward for Datawatch in the visual data discovery market,” said Ben Plummer, chief marketing officer and senior vice president of strategic alliances for Datawatch. “The focus of this release was squarely on providing our customers and partners with a best-in-class user experience, while expanding the sources of data they can leverage to develop high value visualization applications. When you couple these new capabilities with Datawatch’s unparalleled ability to visualize in-motion streaming data, we believe we have set a new standard for data visualization solutions in the market.”
Datawatch 12.3 is available immediately and in support of the new release, Datawatch has also made available a video that compares Datawatch to another one of the industry’s leading data visualization solutions. This side-by-side comparison, available at datawatch.imarc.io/side-by- side, showcases the differences in speed of development, ease of use, and Datawatch’s unique ability to leverage any source of data, including in-motion real-time data in the development of visualization solutions. To learn more about this release, visit our website at datawatch.imarc.io or test drive Datawatch 12.3 by downloading a free trial version at datawatch.imarc.io/12dot3trial.
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 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 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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Investor Contact: Datawatch Investor Relations firstname.lastname@example.org
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Sarah Bernardi Datawatch Corporation
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