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.
"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.
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