ST. LOUIS, June 13, 2012 /PRNewswire/ -- Savvis, a CenturyLink company (NYSE: CTL) and global leader in cloud infrastructure and hosted IT solutions for enterprises, today announced a strategic agreement with Hortonworks, a leading commercial vendor promoting the innovation, development and support of Apache Hadoop, enabling Savvis to leverage Hadoop to offer cloud-based big data solutions for enterprises.
Hortonworks Data Platform will be integrated with the Savvis Symphony suite of cloud services, simplifying the movement of data between the Hadoop-based platform hosted by Savvis and enterprise data systems. Hortonworks Data Platform, powered by Apache Hadoop, is a massively scalable platform for storing, processing and analyzing large volumes of data.
"Enterprises are increasingly interested in and exploring big data solutions. The combination of the Hortonworks Data Platform with the pay-per-use model, agility and simplicity of Savvis' industry-leading cloud services will offer tremendous value to our clients," said Steve Garrou, vice president of global solutions management at Savvis. "Ultimately, Savvis' strategic agreement with Hortonworks will enable enterprises to leverage Hadoop to create valuable information through the searching, indexing and analyzing of sizeable quantities of information assembled from multiple sources."
Hortonworks Data Platform is designed to deal with data from many sources and formats the data in a quick, easy and cost-effective manner. Hortonworks Data Platform provides an open, stable and highly extensible platform that makes it easier to integrate Apache Hadoop with existing data architectures and maximize the value of the data flowing through a business.
"We are pleased to partner with Savvis and integrate Hortonworks Data Platform with the Savvis Symphony suite of enterprise cloud computing solutions," said Mitch Ferguson, vice president of business development at Hortonworks. "Offering cloud-based big data solutions for enterprises will greatly help Apache Hadoop become the next-generation data management platform."
Savvis, a CenturyLink company, is a global leader in cloud infrastructure and hosted IT solutions for enterprises. Nearly 2,500 unique clients, including more than 30 of the top 100 companies in the Fortune 500, use Savvis to reduce capital expense, improve service levels and harness the latest advances in cloud computing.
CenturyLink is the third largest telecommunications company in the United States. The company provides broadband, voice, wireless and managed services to consumers and businesses across the country. It also offers advanced entertainment services under the CenturyLink™ Prism™ TV and DIRECTV brands. In addition, the company provides data, voice and managed services to enterprise, government and wholesale customers in local, national and select international markets through its high-quality advanced fiber optic network and multiple data centers. CenturyLink is recognized as a leader in the network services market by key technology industry analyst firms, and is a global leader in cloud infrastructure and hosted IT solutions for enterprises through Savvis, a CenturyLink company. CenturyLink's customers range from Fortune 500 companies in some of the country's largest cities to families living in rural America. Headquartered in Monroe, La., CenturyLink is an S&P 500 company and is included among the Fortune 500 list of America's largest corporations.
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing, and analyzing large volumes of data. The Hortonworks Data Platform provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big data solutions. Together with the Apache community, Hortonworks is making Hadoop more robust and easier to install, manage, and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators, and technology vendors. For more information, visit www.hortonworks.com.