Datawatch Panopticon 13.7 Brings Faster Trading Analytics - from Tick to Spark and Kafka

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Robust new features give capital market customers a time advantage, enabling them to immediately identify trading anomalies typically missed with traditional displays BEDFORD, Mass., May 17, 2016 (GLOBE NEWSWIRE) --Datawatch ...

Robust new features give capital market customers a time advantage, enabling them to immediately identify trading anomalies typically missed with traditional displays

BEDFORD, Mass., May 17, 2016 (GLOBE NEWSWIRE) -- Datawatch Corporation (NASDAQ-CM: DWCH) today announced the general availability of Datawatch Panopticon 13.7, providing faster visual data analysis for trading, risk and compliance markets. The new powerful features enable buy-side and sell-side firms, and exchanges to perform big data analysis of e-trading data both in real-time as well as intra-day and historically to gain insights that speed decision making.

Regulatory demands in the U.S. and Europe have made order transparency essential. However, the fragmentation of liquidity, increased data volumes and the focus on transaction timing and associated round trip latency hinder organizations' ability to achieve it. Datawatch Panopticon is purpose-built to integrate into e-trading data environments and gives users the ability to immediately detect anomalies across real-time streaming, intra-day and historic time series. This new edition of the software directly aligns with customers' requirements for demonstrating best execution across all asset classes, and technologists' requirements for supporting big data architectures.

"For more than 15 years, the Panopticon software has been trusted by the largest banks, broker-dealers, fund managers and exchanges to help them make faster, more informed decisions," said Peter Simpson, vice president of visualization strategy at Datawatch. "Our new support for Spark and Kafka, along with enhanced and new visualizations, continues to set innovative industry standards for visual data analysis, giving customers the ability to quickly identify, investigate and act on anomalies in ever-increasing volumes of data."

Datawatch Panopticon 13.7 introduces new visualizations, predictive analytics and big data connectivity capabilities, all of which empower users to monitor data in real-time, investigate historical performance and instantly take action to improve business profitability. From analytical dashboard design and publishing, to secure access through a web browser, users get an unprecedented view of their operational data. The software allows users to easily jump from order execution monitoring and analysis, to drilling into execution history and review of historic order flow.

Key features of Datawatch Panopticon 13.7 include:

  • Real-time streaming updates - Addition of web socket and Apache Kafka connectivity
  • Intra-day and historic time series - Playback through tick time, stepping backwards and forwards and resampling down to individual transactions
  • Tick data connectivity­ - Improved direct OneMarketData OneTick and Kx Systems kdb+ connectivity
  • Big Data connectivity - Connectivity with widely used big data platforms including Cloudera Impala, Spark SQL, Kafka and Cassandra
  • Visual analysis - Advanced, new visualizations plus improved cross tabbing, axis scaling and outlier screening

To learn more about Datawatch Panopticon 13.7, visit, join us for a product demonstration webinar on June 1 at 11 a.m. ET, or attend the data management and analysis panel this Wednesday at The Trading Show, in Chicago.

About Datawatch Corporation
Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please

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 contained herein, including but not limited to those relating to product performance and viability, 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: rapid technological change; Datawatch's dependence on the introduction of new products and product enhancements and possible delays in those introductions; acceptance of new products by the market, competition in the software industry generally, and in the markets for next generation analytics in particular; and Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties. 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, 2015. Any forward-looking statements should be considered in light of those factors.

© 2016 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.

Media Contact: Amanda Beaupre Marketing Communications Manager, Datawatch Corporation 978-275-8387 Twitter: @datawatch

This announcement is distributed by NASDAQ OMX Corporate Solutions on behalf of NASDAQ OMX Corporate Solutions clients.
The issuer of this announcement warrants that they are solely responsible for the content, accuracy and originality of the information contained therein.
Source: Datawatch Corporation via Globenewswire


Source(s) : Datawatch Corporation

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