SGI Acquires FileTek for Storage Virtualization

SGI announced that it has acquired big data storage virtualization provider FileTek, for an undisclosed amount.

John Rath

October 2, 2013

1 Min Read
SGI Acquires FileTek for Storage Virtualization
Amazon is among the customers for SGI’s Infinite Storage. Some units are shown above.

SGI announced that it has acquired big data storage virtualization provider FileTek, for an undisclosed amount. Adding storage virtualization, large-scale data management and Active Archive will expand SGI's storage portfolio and enable customers to manage data assets efficiently.

“We’re thrilled to welcome FileTek and its customers to SGI,” said Jorge Titinger, president and CEO of SGI. “With the addition of FileTek solutions, SGI enables existing and new customers to align both unstructured and structured data with the most cost effective storage throughout its lifecycle, with seamless user access and reliable petascale protection. This acquisition also reflects our strategy to build on SGI’s leadership in High Performance Computing, expertise in Big Data, and experience delivering over 600 petabytes of storage capacity annually, to become a global leader in petascale storage solutions.”

SGI said it will continue to support FileTek customers. FileTek's assets include its StorHouse lifecycle management and active archive solution and Trusted Edge intelligent analysis software. SGI will sell and support Trusted Edge and StorHouse products under the SGI brand, and will integrate technologies over the near and long term while protecting SGI and FileTek customer investments.

“StorHouse and Trusted Edge solutions have experienced wonderful acceptance in the market,” said Bill Loomis, CEO of FileTek. “We are excited that this acquisition will continue to allow both products to fully achieve their potential through wider global distribution with SGI. Our customers will benefit from resources, expertise and solutions under the SGI brand that enable government and commercial enterprise environments to lower the cost of Big Data and high-volume storage.”

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