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Hammerspace Partners with QStar

To expand global data environment to include data on tape

QStar Technologies, Inc. and Hammerspace, Inc. have entered into a technology partnership to expand their parallel file system to include all sizes of tape library for medium- and long-term archiving.

Hammerspace Qstar Joint Solution Intro

Hammerspace, an innovator in high-performance parallel global file systems, with QStar, adds the final piece of the puzzle with our industry-leading Tape-as-NAS and Tape-as-Cloud software for active archives,” said Riccardo Finotti, CEO, QStar. “We are very pleased to form this partnership to allow organizations to store their most valuable assets, through Hammerspace, to any tape library using any LTO or proprietary tape drive and media.

Adding 3rd-party storage support using QStar Archive Manager to include tape benefits HPC, M&E, government and enterprises with large data sets stored on large tape systems to meet economic, power efficiency and ransomware protection goals. Data will be accessible via Hammerspace, providing users and applications visibility and standards-based file access across silos to all their data, no matter which storage type or location it is stored.

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Hammerspace Qstar Joint Solution Scheme

QStar Archive Manager provides SMB, NFS and S3 protocol options for low cost tape library storage for Hammerspace and other enterprise storage vendors, such as Cohesity, Rubrik and HYCU. It is a gateway software solution running on Windows or Linux that presents one or multiple file systems or buckets for simple data management to an ever-growing set of tape media.

When QStar and I co-founded the Active Archive Alliance nearly 15 years ago, the industry was coming together to bring tape data to applications in a standard file format instead of being buried within a proprietary format in a backup file,” said Molly Presley, SVP of global marketing, Hammerspace. “Now, with the partnership with QStar and advancements at Hammerspace, we have taken another massive step forward in putting all data to work in a single active global file system, delivering performance, access and collaboration to AI models, applications and users anywhere, using data, everywhere.

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