Isilon “Outstanding” Scale-Out File System Storage for Gartner

EMC Corporation announced that its Isilon product has been recognized with an overall product viability rating of "outstanding" by Gartner, Inc. in its new report, Gartner Critical Capabilities for Scale-Out File System Storage, January 24, 2013 (18 pages, $1,995), by Arun Chandrasekaran and Pushan Rinnen.

The rating was given to Isilon based on its ability to provide capacity, management, resiliency and scalability within its products, as well as its rating in the designated use cases of Commercial HPC, Large Home Directories and Backup and Archiving.

The report evaluates nine vendors, including Isilon, against nine critical capabilities: capacity, efficiency, interoperability, manageability, performance, resiliency, security, applicability for infrequently accessed data and applicability for production data. This multidimensional focus highlights the key areas customers must evaluate when considering scale-out options, and marks the most important capabilities for handling big data.

As large-scale file-based data grows unchecked, and enterprises in industries such as oil and gas, life sciences and media and entertainment rely on this data to move business forward, scale-out NAS is an increasingly critical asset for ensuring that data is accessible even as the volume explodes. Isilon, known for scalability and ease of management, continues to lead the market due to high performing, resilient solutions.

Sam Grocott, VP of marketing and product management, EMC Isilon: "EMC Isilon’s top strength has always been scalability – but scalability means nothing if storage management is difficult or the infrastructure isn’t resilient. EMC Isilon NAS scale-out NAS has always been engineered for simplicity and reliability on top of the scalability that is so important when dealing with large-scale data that impacts the enterprise. For use, this report reinforces the fact that EMC Isilon produces solid products tailored to performance for enterprise-grade big data."

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