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Quantum and DataFrameworks Deliver Intelligent Data Management for High-Performance, Project-Based Workflows

New Integrated Solution Provides More Granular Data Visibility and Access Across Scale-out Storage Environments

Quantum Logo (PRNewsFoto/Quantum Corp.)

News provided by

Quantum Corp.

Jun 15, 2017, 16:49 ET

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SAN JOSE, Calif., June 15, 2017 /PRNewswire/ -- Quantum Corp. (NYSE: QTM) today announced the integration of DataFrameworks ClarityNow software with its XcellisTM scale-out storage and Artico™ archive appliances, providing 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.

Intelligent data management for high-performance, project-based workflows with Quantum and DataFrameworks.
Intelligent data management for high-performance, project-based workflows with Quantum and DataFrameworks.

Tweet: Greater intelligence for high-performance project-based workflows with @QuantumCorp and #DataFrameworks #archive http://qntm.co/2sB2342

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 of Global Marketing, will discuss the latest developments in multi-tier storage for HPC workflows at the Vendor Showdown, Monday, June 19, 2:15 p.m. Panorama 2, Forum, Vendor Showdown 02
  • Jason Coari, Sales Specialist, Scale-out Storage, will present "Scalable High Performance Storage for Technical Computing" on Wednesday, June 21, 4:00 p.m., Booth #M-210

Supporting Quotes
Brant Kelley, Director of IT Services, Scripps Research
"The Quantum-DataFrameworks partnership will enable us to continue to refine the capabilities of our scientific archive, providing researchers with self-service capabilities to quickly locate files and manage their costs with the showback/chargeback reporting."

Will Hall, Chief Executive Officer, DataFrameworks
"Disciplines such as life sciences, engineering design, energy, large government agencies and university research depend on workflows that involve storing, managing and moving large numbers of files. Files related to a single project can reside in multiple folders across multiple file systems, making it difficult to get a project-wide view of storage usage. For these complex environments, the combination of DataFrameworks ClarityNow and Quantum StorNext-based appliances for data management and archive offers an unmatched level of data visibility and access."

Molly Presley, Vice President, Global Marketing, Quantum
"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."

Additional Resources

  • To learn more about the Quantum-DataFrameworks solution: http://www.quantum.com/applications/dataframeworks/index.aspx
  • For a video featuring Brant Kelley of Scripps Research discussing a Quantum-DataFrameworks environment: https://vimeo.com/164032290.
  • To read the Scripps Research case study: http://www.quantum.com/customerstories/scripps-research-institute/index.aspx
  • For the "This Week in HPC" Intersect360 Podcast featuring Molly Presley discussing the storage challenges of HPC environments: http://bit.ly/2rB08b7

About Quantum
Quantum is a leading expert in scale-out tiered storage, archive and data protection, providing solutions for capturing, sharing and preserving digital assets over the entire data lifecycle. From small businesses to major enterprises, more than 100,000 customers have trusted Quantum to address their most demanding data workflow challenges. Quantum's end-to-end, tiered storage foundation enables customers to maximize the value of their data by making it accessible whenever and wherever needed, retaining it indefinitely and reducing total cost and complexity. See how at www.quantum.com/customerstories.

Quantum, the Quantum logo, StorNext, Xcellis and Artico are either registered trademarks or trademarks of Quantum Corporation and its affiliates in the United States and/or other countries. All other trademarks are the property of their respective owners.

"Safe Harbor" Statement: This press release contains "forward-looking" statements. All statements other than statements of historical fact are statements that could be deemed forward-looking statements. Quantum advises caution in reliance on forward-looking statements. Forward-looking statements include, without limitation, 1) benefits and value to customers from the combination of DataFrameworks ClarityNow and Quantum StorNext-based appliances and 2) customer demand for and Quantum's future revenue from such integrated solutions. All forward-looking statements are based on information available to Quantum on the date hereof. These statements involve known and unknown risks, uncertainties and other factors that may cause Quantum's actual results to differ materially from those implied by the forward-looking statement, including unexpected changes in the Company's business.  More detailed information about these risk factors, and additional risk factors, are set forth in Quantum's periodic filings with the Securities and Exchange Commission, including, but not limited to, those risks and uncertainties listed in the section entitled "Risk Factors," in Quantum's Quarterly Report on Form 10-K filed with the Securities and Exchange Commission on June 1, 2017, especially those risks listed in this section under the heading "Our results of operations depend on a limited number of products and on new product introductions, which may not be successful, in which case our business, financial condition and results of operations may be materially and adversely affected."  Quantum expressly disclaims any obligation to update or alter its forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law.

Public Relations Contact:
Bob Wientzen
Quantum Corp.
+1 (720) 201-8125
[email protected]

SOURCE Quantum Corp.

Related Links

http://www.quantum.com

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