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RainStor Partners With Hortonworks to Offer Big Data Analytics on Apache HadoopPartnership Provides Enterprises With Faster Analytics Using Both MapReduce and SQL, Lowers Operating Costs (January 18, 2012)
SAN FRANCISCO, CA -- (Marketwire) -- 01/18/12 -- RainStor, a provider of big data management software, today announced it has joined the Hortonworks Technology Partner Program to offer big data analytics on Apache Hadoop and the Hortonworks Data Platform. Designed to accelerate enterprise adoption of Apache Hadoop, the Hortonworks Data Platform provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big data solutions. As an innovative leader in big data, RainStor will collaborate with Hortonworks, a leading contributor to Apache Hadoop projects, to provide faster analytics on multi-structured data, without the need to move data out of the Hadoop Distributed File System (HDFS) environment.
"Today's enterprise is increasingly looking to Apache Hadoop as a platform to process and manage complex volumes of data for greater business insights," said Ramon Chen, VP Product Management at RainStor. "As RainStor takes to market a new product running native on Hadoop, RainStor will support the Hortonworks Data Platform with performant analytics at scale and without the need to move data out of the Hadoop environment. The Hortonworks team has tremendous knowledge and experience, and we very much look forward to working together, taking Hadoop data analytics to the enterprise."
"Apache Hadoop has quickly become known as the platform of choice for mining large amounts of multi-structured data to gain business insights previously unattainable," said Mitch Ferguson, vice president of business development at Hortonworks. "We are excited to partner with RainStor to speed analytics, simplify data management and lower operating costs for organizations deploying Hadoop solutions on the Hortonworks Data Platform."
RainStor delivers the first enterprise database running natively on Apache Hadoop. RainStor Big Data Analytics on Hadoop, announced today, brings added value to new and existing Hadoop deployments with proven database technology and enterprise-grade capabilities. Because RainStor provides the highest level of compression, data is reduced by up to 40x (97.5 percent) or more, compared to raw data, and requires no re-inflation when accessed. Faster analytics are achieved when this compression is combined with unique dynamic filtering at file, column and row level, resulting in higher productivity from the more efficient use of the Hadoop cluster. Compression, combined with enterprise database management features, reduces storage and cluster size, lowering operations costs significantly.
To learn more about the Hortonworks Technology Partner Program, please visit: http://hortonworks.com/partners/technology-partner-program/
Hortonworks was formed in July 2011 by Yahoo! and Benchmark Capital in order to promote the development and adoption of Apache Hadoop, the leading open source platform for storing, managing and analyzing large volumes of data. Together with the Apache community, Hortonworks is making Hadoop more robust and easier to install, manage and use. The company and its founders are leaders in designing and delivering current and future generations of Apache Hadoop and leverage their expertise to provide unmatched technical support, training and certification programs for enterprises, systems integrators and technology vendors, including ISVs, OEMs and service providers. For more information, visit www.hortonworks.com.
RainStor provides Big Data management software. RainStor's database enables the world's largest companies to keep and access limitless amounts of data for as long as they want at the lowest cost. It features the highest level of compression on the market, together with high performance on-demand query and simplified management. RainStor runs natively on a variety of architectures and infrastructure including ApacheHadoop. RainStor's leading partners include Amdocs, AdaptiveMobile, Dell, HP, Informatica, Qosmos and Teradata.
Kulesa Faul for RainStor
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