Datawatch Announces Release Of Fully Integrated Datawatch Desktop

- Release Delivers the Industry's Only Data Visualization Solution Capable Of Analyzing Data of Any Variety Including Real-Time Sources

CHELMSFORD, Massachusetts, Nov. 21, 2013 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH) the leading global provider of visual data discovery solutions, announced today the release of Datawatch Desktop, a rebranded and enhanced version of its flagship software that fully integrates the data access and modeling capabilities of Datawatch's legacy Monarch Professional software with the newly acquired capabilities of Panopticon's Designer visual data discovery software.

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The announcement and integration of the products reflects Datawatch's unique capability to deliver high impact visual data discovery capabilities against any variety of data regardless of its source or structure, including data that is delivered at real-time velocities such as message buses, complex event processing engines, tick database and a host of other real-time sources. This next generation release of Datawatch Desktop delivers significant performance improvements with more than a 15X improvement in data throughput speeds, a simpler modernized user interface, and support for more data connections and platforms, among many other enhancements.

"Because of the highly embeddable nature of the Panopticon technology, in just three months, we've completed the integration and raised the bar on the visual data discovery market, by providing our customers the most powerful and feature-rich desktop platform for next generation analytics in the data visualization market," said Jon Pilkington, vice president of Products for Datawatch. "For the first time in the industry, users can now discover new insights from virtually any kind of data, including in motion sources of real-time information, with just one solution."

Datawatch Desktop is comprised of a two module suite: Modeler and Designer. Modeler empowers users to visually model and extract analytical assets from structured or less-than-structured sources like PDFs, reports and EDI streams, and then use this data in a self-service manner on the desktop or move it to the Datawatch Server for broader analytical purposes. This latest release of Modeler features a redesign of the user interface, support for streaming exports of unlimited size, a Custom Connector Framework to help partners easily add new input sources and output targets, and a new parallel processing core engine that significantly improves both performance and data capacity levels, enabling users to conduct more complex analyses on larger Big Data sets. This module, formerly known as Datawatch Monarch Professional, offers only a subset of the capabilities of the complete Datawatch Desktop solution.

Datawatch Desktop's design module allows organizations to develop pixel perfect visualizations against any data source supported by the former Panopticon Designer product, as well as design and develop models to visualize less than structured data from sources supported by the former Datawatch Monarch Professional product. Datawatch Desktop can be used to design and develop models for individual use or for deployment in the Datawatch Server environment. The latest release of Datawatch Desktop's design module offers breakthrough performance and usability improvements. A new underlying core engine improves Datawatch Desktops performance by 15 times over previous releases of Panopticon Designer. Datawatch Desktop also improves the data connectivity options, adding support for OData sources, more varieties of streaming data from message buses, and an enhanced Query on Demand (ROLAP) capability to better connect to and exploit external Big Data sources.

Datawatch Desktop is ideal for companies that need to visually analyze any source of data and distinguishes itself when high velocity real-time sources, large high through put data sources, less than structured data sources, and pixel perfect visualizations are required to satisfy application requirements. Financial services firms, for instance, use Datawatch Desktop to analyze risk, liquidity, trades, market movements, exposures, compliance and fast-moving decision-making parameters. Healthcare companies use the technology to improve healthcare delivery outcomes while reducing healthcare costs. And manufacturers rely on Datawatch Desktop to make better decisions on time-sensitive functions like supply chains, inventory, purchasing, workforce performance and materials management.

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 allow 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, 2012, Form 10-Q for the quarters ended December 31, 2012, March 31, 2013 and June 30, 2013, and Definitive Proxy Statement on Schedule 14A filed with the SEC on August 5, 2013. Any forward-looking statements should be considered in light of those factors.

Media Contact:
Sarah Bernardi
Datawatch Corporation
Sarah_Bernardi@datawatch.com
Phone: (978) 441-2200 ext. 8387
Twitter: @datawatch

© 2013 Datawatch Corporation. Datawatch and the Datawatch logo 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.