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

Datawatch Corporation
Press release

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

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

BEDFORD, Mass., 2016-05-17 14:55 CEST (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
-- 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

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 visit:

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
Twitter: @datawatch

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