Chelmsford, Mass.—November 11, 2013—Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of visual data discovery solutions, announced a new Visualization Accelerator that allows Splunk users to develop highly customized real-time visualizations against their Splunk data without any coding or scripting, allowing them to realize the full potential of Operational Intelligence by monitoring and analyzing the machine data made accessible through Splunk as well as other enterprise data sources and data streams.
With Datawatch, users can connect to almost any source of information, including Splunk, to develop visual data discovery applications using an elegant drag-and-drop design environment. These next generation analytic extensions to Splunk applications can include high impact customized visualizations and intuitive filtering controls to help users quickly isolate outliers and anomalies in their data.
In addition to easy design, Datawatch users can unify the display of data from multiple Splunk searches, as well as include data from other sources such as semi-structured, unstructured and real-time data sources. And when combined with Datawatch Server, these next generation analytical applications can be shared across the entire enterprise via a browser-based solution, allowing for greater visibility and collaboration.
“Splunk customers have embraced the value of less-than-structured data, like machine log files, and we at Datawatch have a long heritage of helping customers gain value from this type of data,” said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances. “We are very excited about being able to offer Splunk users the ability to get even more from their investment through the use of Datawatch’s next generation analytic capabilities and our new Visualization Accelerator for Splunk.”
The Datawatch Visualization Accelerator for Splunk connects directly to on premise and cloud-based Splunk deployments. To showcase this new solution, Datawatch has provided a free trial together with access to the Splunk demo instance running in the cloud. Splunk users can now easily see the value of using Datawatch’s visual data discovery capabilities in a Splunk environment by visiting datawatch.imarc.io/splunk.
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, 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 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 and operations; risks associated with indirect distribution channels; 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.
# # #
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
© 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.