- 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.
(Logo: http://photos.prnewswire.com/prnh/20121015/NE92833LOGO
)
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.