Chelmsford, Mass.—October 20, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery solutions, today teamed with ParStream to add visual data discovery capabilities to the industry’s first analytics platform designed for the speed and scale of the Internet of Things (IoT).
ParStream developed the industry’s first analytics platform purpose-built to handle the massive scale and velocity of IoT data streaming from applications, which often have hundreds to thousands of machines, devices and sensors. Using Datawatch as the visualization front-end, users of the ParStream Analytics Platform can glean actionable insights from IoT data in real-time.
The two companies are developing a series of vertical solutions for industries such as manufacturing, supply chain and telecommunications that are struggling to harness their IoT data to improve operations. For example, the companies will soon unveil a new call center solution with which companies can visualize and analyze billions of call data records in real-time to improve quality of service.
“Data is bigger and coming at us faster than ever. With more than two exabytes of data generated every single day, legacy database and analytics tools fall short of the new IoT requirements for speed, scale, and flexibility,” said Syed Hoda, chief marketing officer for ParStream. “The ParStream/Datawatch solution lets users visually explore IoT data as its being loaded from its source for real-time analysis.”
The analytics platform is powered by ParStream DB, the company’s patented database with sub- second query response times in analyzing billions of rows of data. ParStream DB can analyze massive amounts of real-time streaming data as well as historical data. The platform also includes other tools designed for IoT, such a Geo-Distributed Analytics, which enable analytics close to the source of data.
Informatica Vibe provides the real-time Extract, Transform and Load (ETL) capabilities for streaming data.
As a visual data discovery platform, in addition to providing the visualization front-end, Datawatch also enables users to ingrate IoT streaming data with all kinds of other data sources – including unstructured and semi-structured data. Allowing users to visually identify trends, spot outliers and uncover new revenue opportunities in real time.
Companies using the ParStream/Datawatch solution can expect to roll out IoT applications twice as fast versus integrating components in-house from different vendors, with 30 percent less resources for testing and supporting applications.
“New advances in low cost sensor devices and their associated data streams are rapidly becoming a big source of differentiation for industrial organizations that can effectively harness this
information for more meaningful and timely decisions,” said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch Corporation. “Traditional BI and analytic approaches will not be sufficient in an era of high speed, high volume data streams – and this is where ParStream’s analytics platform together with Datawatch’s visualization capabilities provide a complete solution for IoT applications.”
ParStream is the IoT analytics platform company. The ParStream Analytics Platform was purpose- built for scale to handle the massive volumes and high velocity of IoT data. Enabling a new breed of analytics for the enterprise, ParStream has earned accolades including CIO Magazine #1 Big Data Startup, Gartner Cool Vendor and Database Trends and Applications Magazine’s Trend-Setting Products in Data. ParStream is based in Silicon Valley, online at www.ParStream.com and on Twitter @ParStream.
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/free-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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