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Cloudian

Cloud storage company From Wikipedia, the free encyclopedia

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Cloudian is an object storage platform company based in San Mateo, California, founded in 2011.[1] It develops software for object and cloud storage.[2][3][4]

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History

In 2001, Michael Tso formed a company called Gemini Mobile Technologies,[5] together with other MIT alumni, including Joseph Norton.[5] Tso had been an undergraduate student at the Massachusetts Institute of Technology (MIT) in the 1990s where he learned about parallel computing from professors Bill Dally and Greg Papadopoulos.[5] He studied as a graduate student at MIT under David D. Clark.[5] Gemini Mobile Technologies was later relaunched in 2011.[6][failed verification]

Cloudian was co-founded out of Gemini Mobile Technologies by Michael Tso and Hiroshi Ohta in 2012.[5] The new company had an increased focus on distributed computing and distributed storage.[5]

In 2014 TechCrunch reported that Cloudian had raised $24 million from investors that included Intel and the Innovation Corporate Network of Japan.[7] In March 2018, Cloudian acquired Infinity Storage, an Italian software company.[8] Later that year TechCrunch reported a $94 million investment in Cloudian from companies that included Goldman Sachs.[9][10] In June 2024 it received an additional $60 million investment.[citation needed]

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Products

Cloudian products include HyperStore, a software defined storage alternative to cloud-based services[11][12] built to run on commodity hardware. It is compatible with Amazon Web Services's S3 service.[13] In February 2024, the company released HyperStore version 8 unifying its object and file data products.[13] In 2024 Cloudian collaborated with Nvidia to provide functionality between HyperStore's object storage and Nvidia's graphics processing units (GPUs).[14][15]

Cloudian released HyperIQ in 2020, a monitoring system for storage performance and usage.[16] HyperIQ was updated in 2021 to support management of multiple storage clusters.[17] In 2022, HyperBalance was released, providing a load balancer for S3 traffic.

Cloudian holds U.S. patents relating to hybrid cloud, object storage, and hierarchical data management.[18]

In July 2025, Cloudian announced that it had extended its object storage system with a vector database, with the idea of reducing data movement for artificial intelligence workloads (in particular, between storage and GPUs).[5]

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Adoption

Organizations with Cloudian deployments include PostFinance,[4] Rabobank,[19] and Vox Media.[20] Its HyperStore system has been used by NEC and Osaka University for high-performance computing applications.[6] In July 2023, the United States National Library of Medicine (operating under the National Institutes of Health) awarded a five-year contract for Cloudian HyperStore systems and subscriptions.[21] Cloudian partnered with VMware in 2024.[citation needed]

Cloudian has partnered with hardware manufacturers and cloud service providers including Amazon Web Services, Lenovo, and Supermicro.[22][23] According to MIT News, Cloudian was working with about 1,000 companies as of August 2025.[5]

Reception

Cloudian has received both positive and negative evaluations from independent parties. Cloudian was recognized by Gartner with a "Customer's Choice" award in 2022 for distributed file systems and object storage, its third year in a row of receiving the award.[24] However, the company was dropped by Gartner's comparison in October 2024, due to not meeting the inclusion criteria of "a single platform for file and object workloads."[25] Prior to being dropped, Cloudian had been categorized as a "Challenger" in Gartner's "Gartner Magic Quadrant", behind companies such as NetApp, VAST Data, Hitachi Vantara, and Huawei as well as behind "leaders" such as IBM, Dell Technologies, Pure Storage, Scality, and Qumulo.[25]

Cloudian has been evaluated as an object storage vendor by Gigaom,[26] Coladgo Research,[27] and Gartner.[24] In 2020, CRN magazine recognized Cloudian among one to watch in its software-defined storage review.[28]

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See also

References

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