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Quantum announces integration of DataFrameworks ClarityNow software with its Xcellis scale-out storage and Artico archive appliances. The added integration is known to provide increased visibility into usage and other intelligence regarding large unstructured data.
Through deeper insight into their data, users with highly demanding storage environments ― which can include hundreds of storage nodes, dozens of file systems and multiple different vendors ― will now be able to scan, organize, access and migrate their data much more easily and efficiently to meet their business or mission objectives.
Unmatched Performance for Complex File Types; Easy File and Project Migration
Quantum has integrated ClarityNow with its Xcellis workflow storage and Artico archive gateway appliances to enable easy migration of files from any other NAS environment to take advantage of the better performance, access, sharing and cost management which Quantum’s StorNext-powered appliances provide. The combined solution provides business-relevant views across all file systems, allowing users to manage files by project, client, researcher, storage cost or other metrics.
The combination of Quantum scale-out storage appliances and DataFrameworks ClarityNow enables data owners such as project managers, principal investigators, lead engineers and researchers to view and search the archive without an IT request. This combination thereby reduces the drain on limited IT resources and decreases both the operating costs and capital expenditures ― often by 10x or more ― associated with managing large amounts of file-based data across complex storage environments.
Quantum to Showcase Storage Solutions for HPC at ISC High Performance Conference
At the upcoming ISC High Performance 2017 conference in Frankfurt, Germany (June 18-22), Quantum will highlight the integrated ClarityNow solution along with other storage solutions for HPC environments. In addition, Quantum will present at two sessions during the show:
Molly Presley, Vice President, Global Marketing, Quantum, said, “Together, Quantum and DataFrameworks are providing the storage foundation that enables data-intensive HPC environments to extend the knowledgebase for key data management decisions. Data owners, operations personnel or even scheduling systems can drive ’what to archive and when to archive’ decisions, creating a more efficient environment for managing data associated with project-based workflows.”
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