Datawatch Announces Hadoop Support To Deliver Greater Data Variety For Big Data Applications

  Datawatch Announces Hadoop Support To Deliver Greater Data Variety For Big
                              Data Applications

Datawatch Joins MapR Advantage Partner Program

PR Newswire

CHELMSFORD, Mass., Feb. 7, 2013

CHELMSFORD, Mass., Feb. 7, 2013 /PRNewswire/ -- Datawatch Corporation
(NASDAQ-CM: DWCH), the leading global provider of information optimization
software and services, today announced support for Hadoop and Hive with the
release of Datawatch Data Pump 11.6. Semi-structured data such as complex
reports, machine data, EDI streams, high volume print output, text and PDF
formats remain very difficult to process in Hadoop, but now Datawatch can
provide business analysts and those most familiar with the data, the ability
to take advantage of the massive scale offered by Hadoop's distributed
architecture. This support continues to expand Datawatch's ability to
deliver the greatest data variety for Big Data and business intelligence
solutions.

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

"Our ability to access and store information in Hadoop represents a
significant step forward in our ability to support Big Data applications,"
said Jon Pilkington, Vice President of Products for Datawatch. "As
organizations look to leverage a greater variety of information stored in Big
Data systems, like Hadoop, Datawatch's ability to access and extract value
from these sources provides a critical component to their applications."

Datawatch also announced its participation in the MapR Advantage Partner
Program with support for loading data directly into Hive on MapR, in addition
to moving data to Hadoop via Direct Access NFS™. "MapR is a fast, easy to use
Hadoop distribution, with excellent connectivity to the Windows platform via
NFS making moving data much easier. With 5 9s availability, it can meet the
needs of demanding enterprise customers," said Pilkington.

"We are very excited to have Datawatch join our community. We believe that
Datawatch will increase the value of MapR customers' investment in Hadoop by
bringing a great variety of trusted enterprise data into this high performance
analytics environment," said Alan Geary, Senior Director of Business
Development, MapR Technologies.

Datawatch Data Pump 11.6 and the associated components to the Datawatch
Information Optimization Platform will be available later this month.

Click here to learn more about how Datawatch brings greater data variety to
Big Data applications.

ABOUT DATAWATCH CORPORATION

Datawatch Corporation (NASDAQ-CM: DWCH) is a leader in providing information
optimization products and solutions that allow organizations to deliver the
greatest data variety possible into their big data and analytic applications.
Datawatch provides organizations the ability to integrate structured,
unstructured, and semi-structured sources like reports, PDF files, and EDI
streams into these applications to provide a 360 degree perspective of the
issues and opportunities that exist in their businesses. More than 40,000
organizations worldwide use Datawatch's products and services, including 99 of
the Fortune 100, and businesses of every type can benefit from the power and
flexibility of Datawatch's industry leading solutions. Datawatch is
headquartered in Chelmsford, Massachusetts with offices in London, Munich,
Singapore, Sydney and Manila, and with partners and customers in more than 100
countries worldwide. For more information, visit www.datawatch.com.

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; 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; risks associated with indirect distribution
channels; the adequacy of Datawatch's sales returns reserve; risks associated
with a subscription sales model; risks associated with acquisitions, including
the recent acquisition of intellectual property from Math Strategies;
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. Any
forward-looking statements should be considered in light of those factors.

Investor Contact:

Datawatch Investor Relations
investor@datawatch.com
Phone: (978) 441-2200 ext. 8323

Media Contact:

Sarah Bernardi
Datawatch Corporation
Sarah_Bernardi@datawatch.com
Phone: (978) 441-2200 ext. 8387
Twitter: @datawatch

© 2013 Datawatch Corporation. Datawatch, Monarch and their respective logos
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.



SOURCE Datawatch Corporation

Website: http://www.datawatch.com
 
Press spacebar to pause and continue. Press esc to stop.