Hammerspace recognized as a Sample Vendor in the 2022 Gartner Hype Cycle for Storage and Data Protection Technologies Report
Hammerspace, the pioneer of the Global Data Environment, announced that it has been recognized as a Sample Vendor in the 2022 Gartner report “Hype Cycle™ for Storage and Data Protection Technologies.”
According to Gartner, “This Hype Cycle focuses on emerging innovative storage and data protection technologies and evaluates business impact, adoption rate and maturity level to help infrastructure and operations leaders build adaptable and future-ready storage, and data protection platforms for changing business needs. By 2026, large enterprises will triple their unstructured data capacity stored as file or object storage on-premises, at the edge or in the public cloud, compared to 2022.”
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“Hammerspace is honored to be named a Sample Vendor by Gartner in the recent Hype Cycle™ for Storage and Data Protection Technologies Report. Hammerspace is delivering the innovation to provide decentralized businesses with a Global Data Environment powers data-hungry AI, machine learning, and next-gen applications while delivering remote high-performance, local access of data to remote workers,” said David Flynn, Founder and CEO of Hammerspace. “I believe it is an honor and validation of our strategy to be recognized as a Sample Vendor for both Hybrid Cloud Storage and Management Software-Defined Storage.”
Hammerspace delivers the world’s first and only Global Data Environment, breaking down the boundaries of data access for users and applications anywhere in the world to create, process, store, and protect data on any existing data center or preferred cloud infrastructure. Decentralized organizations with distributed infrastructure and data struggle with how to power data-driven projects. Hammerspace gives users and applications local, read/write access to all of their file data across all silos and locations based upon their permission while providing IT managers the ability to manage all their data and storage resources globally, without interrupting access to users and applications, and without being overwhelmed with the complexity of silo-based point solutions for data services.
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