Collaboration Combines Power of Cascading with the Rackspace Hybrid Cloud to Deliver Flexibility and Simplicity for Hadoop Deployments
SAN FRANCISCO – Jan. 28, 2014 – Concurrent, Inc., the enterprise Big Data application platform company, today announced that it has joined the Partner Network for Rackspace® Hosting, (NYSE: RAX), the open cloud company. By joining the Rackspace partner network, Concurrent allows users to easily deploy Big Data applications at scale on the Rackspace Hybrid Cloud, powered by OpenStack. This channel partnership combines the power of Cascading, the most widely used and deployed application platform for building robust enterprise Big Data applications, with Rackspace’s managed cloud hosting expertise to drive enterprise Big Data application development on Apache Hadoop™.
Cascading is the enterprise development framework of choice for processing data sets on Hadoop, with more than 130,000 downloads a month. Cascading simplifies programming, workflow and data processing, allowing enterprises to cut time to production by 50 percent. As a result, enterprises can more easily execute on their Big Data strategies by leveraging existing skillsets, systems and tools – all while reducing the overall complexity of their technology infrastructure. Cascading is compatible with all popular Hadoop distributions, including Hadoop 2 and YARN.
As more businesses seek to leverage their data assets, there is an ever-growing need for cost-effective, scalable Big Data platforms. Enter Rackspace hybrid cloud platform, which provides developers, architects and data scientists with a flexible solution for easily developing, deploying and managing Big Data applications at scale. Enterprises can now tap into the power of Cascading along with Rackspace’s high-performance and cost-effective hosted cloud to further drive business differentiation through data.
Supporting Quotes
“Rackspace is proud to welcome Concurrent as a select technology partner, especially given the incredible popularity of Cascading. We look forward to furthering enterprise Big Data adoption by jointly providing the easiest, most cost-effective and reliable means for Hadoop deployment.”
-Chris Rallo, Senior Manager, Partner Strategy and Programs, Rackspace
“Using the right tools is critical for ensuring the success of any Big Data project. By partnering with Rackspace, Concurrent continues our dedication to easy Big Data application development for the masses. Rackspace’s hybrid cloud platform provides enterprises with best-in-breed capabilities to make the most of their Cascading Big Data application projects on a scalable, high-performance framework.”
-Gary Nakamura, CEO, Concurrent, Inc.
“Combining the power of Cascading with Rackspace’s hybrid cloud platform provides the right recipe for developing solutions fast while ensuring easy deployment at scale. AdMobius is committed to providing our customers with the very best solutions to make sense of their data, and this partnership helps ensure that we do just that.”
-Ray Duong, CTO, AdMobius
Supporting Resources
- Cascading: http://cascading.org
- Cascading Lingual: http://cascading.org/lingual
- Cascading Pattern: http://www.cascading.org/pattern
- Company: http://concurrentinc.com
- Contact us: http://concurrentinc.com/contact
- Follow us on Twitter: http://twitter.com/concurrent
About Concurrent, Inc.
Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 130,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation, Square and Etsy all rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://concurrentinc.com.
Media Contacts
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
concurrent@kulesafaul.com