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    Home Database
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    Attunity Expands Big Data Replication for Apache Hadoop

    Written by

    Darryl K. Taft
    Published January 28, 2013
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      Attunity, a provider of information availability software solutions, has announced the release of a new version of its big data replication solution for Apache Hadoop, the Attunity RepliWeb for Enterprise File Replication (EFR).

      The latest version of the Attunity solution is designed to enable organizations to quickly and easily replicate data files to, from and between Apache Hadoop, the large volume storage platform that enables big data analytics. Attunity RepliWeb for EFR enables mission-critical initiatives including business intelligence (BI) and big data analytics that inform strategic decisions and drive competitive advantage, Attunity said.

      “Increasingly, organizations are using Apache Hadoop because of its ability to store and process hundreds of terabytes to petabytes of data across thousands of servers, while providing a means to run jobs across those machines efficiently,” explained Mitch Ferguson, vice president of business development at Hortonworks, a leading vendor of Apache Hadoop solutions and a key contributor to the Hadoop open-source project, in a statement. “Hadoop is unique because of its ability to process massive amounts of data. Hortonworks shares Attunity’s vision to help organizations bridge the gap between Hadoop and big data sources more quickly, easily and affordably. We look forward to continuing to work with Attunity in this regard to ensure that enterprises can continue to benefit from big data analytics worldwide.”

      Attunity RepliWeb for EFR 6.0 features high-performance integration to the Hadoop Distributed File System (HDFS) with support for a variety of Hadoop distributions including Apache Hadoop, Greenplum HD & Hortonworks. It also features dashboards and notifications to monitor and control large-scale data movement, enhanced proprietary file transfer technology specifically designed to overcome the challenges of big data and working in distributed environments, data collection management for hundreds or thousands of nodes, with full support of Windows, Unix, Linux, and HDFS file systems, and interaction with Amazon Web Services’ (AWS) Simple Storage Service (S3) via Attunity CloudBeam SaaS service, allowing service subscribers to push Big Data to S3 without the need to install and manage cloud appliances.

      With today’s increasing big data demands, Apache Hadoop is proving to be an economic, elastic and highly-effective solution for data storage and analysis, Attunity said. Helping clients meet big data demands, Attunity RepliWeb for EFR empowers organizations to move large amounts of data in and out of Hadoop. These capabilities are especially suited to industries that need to process big data on a regular basis such as e-commerce, healthcare, infrastructure management and mobile.

      “Our customers spoke and we listened,” said Matt Benati, vice president of global marketing at Attunity, in a statement. “When they expressed a need for an enterprise-grade solution capable of making big data available in Hadoop, we answered with Attunity RepliWeb for EFR 6.0. Our newly-enhanced solution answers this market need with full manageability, high performance and ease of use. Attunity helps organizations bypass the complexities associated with the difficult task of moving data to Hadoop and the cloud while enabling them to put their data to immediate use for competitive advantage. Attunity is the smart choice for businesses that need to move any data, anywhere, anytime.”

      Darryl K. Taft
      Darryl K. Taft
      Darryl K. Taft covers the development tools and developer-related issues beat from his office in Baltimore. He has more than 10 years of experience in the business and is always looking for the next scoop. Taft is a member of the Association for Computing Machinery (ACM) and was named 'one of the most active middleware reporters in the world' by The Middleware Co. He also has his own card in the 'Who's Who in Enterprise Java' deck.

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