Coho Data SDN/SDS Platform Adds Support for HDFS

By Paula Bernier August 16, 2016

Coho Data today unveiled DataStream 2.8, a rack-based software-defined networking and software-defined storage solution that can natively run file and block storage and Hadoop Distributed File System on the same platform with multi-tenancy, quality of service and container orchestration. New with this release is support for HDFS.

The benefits of hosting Hadoop locally include the elimination of the need for physical dedicated clusters for Hadoop, because Hadoop jobs can run where the data resides, Coho Data explained. That results in the reduction of users’ total cost of ownership, and it addresses the requirements of big data, including ease of use, extreme density, high performance and resource segregation.

With SDN, the company has moved intelligence into the network, which enables it to offer a true spin-leaf architecture; allows it to grow the cluster non disruptively; lets it assign a single namespace to an app on a per tenant basis; and, importantly, can deliver multitenancy and QoS.

Multitenant support entails resource segregation and workload isolation not just from a storage perspective, but also at the network level, said Sanjay Jagad, Coho Data’s senior manager of product marketing. Coho Data also now has the ability to run containers on its systems. And rack-scale convergence combines rack components, compute, storage and network for the right mix of resources, he said. This architecture is also application-aware for optimal data placement decisions and load balancing.

For enterprises, the data center of the future is going to be software-defined, said Jim Ensell, Coho Data’s chief marketing officer. That said, Coho Data believes the ability to scale needs to be at the rack layer – as opposed to at the appliance, node or server level, as hypercompute architectures do it – so it can be scaled as workloads dictate, he added. That will give organizations the flexibility to leverage best-of the-breed commodity hardware, have scalability in their compute and storage resources and enjoy cloud-like ease of provisioning and management, he explained. 

Executive Editor, TMC

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