Coho Data Combines Software-Defined Storage Based on Intel Technology and Big Data With Docker

PALO ALTO, Calif., Oct. 13 — Coho Data, a leading innovator in scale-out flash storage for the enterprise, today announced that they are delivering a converged platform based on Intel technology to bring big data analytics directly to primary storage. Developed in partnership with UBS AG, a Fortune 100 financial services company, this architecture unifies the traditionally separate enterprise storage and business intelligence (BI) environments, creating a dynamic, technology-agnostic foundation for big data operations and real-time analytics.

UBS AG strengthens its competitive stance by leveraging business intelligence derived from increasingly sophisticated analytics. The company’s IT group sought to maintain the functional benefits of a mature enterprise storage system, while incorporating BI tools into the system to perform analytics tasks efficiently on the enterprise data in situ. Through convergence of the traditionally separate enterprise storage and BI environments, the new architecture established a stronger, more resilient foundation for enterprise-scale, big data operations and real-time analytics.

“Big data has massive potential, but today’s reality is that there are technical and operational barriers that introduce cost and complexity long before an organization even begins to work with their data,” said Andrew Warfield, Coho Data co-founder and CTO. “Our container converged solution means that enterprises spend less time distracted with big data infrastructure, and enables them to focus the on real goal of extracting value from their data.”

A storage architecture for big data convergence

Until now, the hardware profiles of enterprise storage systems and big data servers have been very different: storage controllers were too compute constrained to bring compute closer to data, while big data implementations offered neither the features nor performance to provide general purpose storage. By combining Intel Xeon processors, NVMe-based Intel Solid State Drives and 40Gb software defined switching, this architecture presents a storage environment with ample compute to address big data processing in situ.

“The Coho Data systems can expose the real potential of high-performance non-volatile memory technologies in balanced combination with Intel Xeon processors,” said Bev Crair, Vice President and GM of Intel’s Storage Group. “By moving computation directly into the storage platform, Coho Data’s approach to enterprise IT architecture solves a real problem for the financial services industry.”

Ease of use speeds time to value

The container-integrated solution provides UBS is the ability for multiple tenants to quickly provision and deploy isolated big data environments directly within Coho’s enterprise storage system. New big data clusters may be instantiated in a matter of minutes, and are able to process data in a protocol and distribution-agnostic manner. Removing the friction associated with hardware procurement, data access and software configuration means an enormous improvement in time to value.

75% reduction in TCO

Coho’s architecture presents customers with the potential to realize a 75% reduction in the total cost of ownership for big data infrastructure. These savings are a result of improved density: there is no need to purchase separate physical infrastructure for big data servers or to cover the operational costs of power and cooling for an additional silo of datacenter hardware. In addition, storage integration removes obstacles associated with data movement, while containers simplify the configuration and deployment.

To read the UBS success story and reference architecture visit: www.cohodata.com/bigdata.

About Coho Data

Coho Data’s scale-out storage platform enables companies to bring the efficiency and flexibility of the public cloud into their on-premise datacenters for greater security and performance. Coho Data’s architecture is designed to efficiently harness the performance of flash and is designed for demanding enterprise applications at any scale.

—

Source: Coho Data