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