Geminare and VMware Collaborate

To bring DRaaS solutions to VMware's vCloud Air
This is a Press Release edited by on 2015.09.09

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Geminare, Inc. and VMware, Inc. announced that Geminare's DR as a Service (DRaaS) solutions have been integrated with and are available to VMware vCloud Air customers.

Available is Cloud Archive on Google Cloud Platform, the first DRaaS solution chosen by Google for the Google Cloud Storage Nearline, a low-cost, secure, durable storage service for business data archiving, online backup, and DR. Tightly integrated with Google Cloud Platform, Geminare DRaaS is one of the most mature, enterprise-caliber DRaaS solutions on the market.

Leveraging Geminare's multi-patented DRaaS cloud management platform, small to enterprise sized customers can use Cloud Archive on VMware vCloud Air Object Storage to leverage Google Cloud Platform, including Google Cloud Storage and Google Cloud Engine, for their DR and long-term data archive needs from either on-premises or hosted environments.

Geminare is also announcing membership in the vCloud Air ISV Technology Alliance Partner (TAP) Program and offering Geminare's Cloud Archive on the VMware Solution Exchange (VSX), indicating that Cloud Archive has undergone technical validation within the vCloud Air environment.

VMware’s Roshni Pary, product marketing manager, VMware’s vCloud Air highlighted Geminare’s Cloud Archive on vCloud Air Object Storage during the vCloud Air ISV showcase session at VMworld 2015 US.

"We are delighted to see this extension of our award winning DRaaS solutions to VMware's vCloud Air customers. The significant savings and flexibility users can achieve by archiving their data to vCloud Air Object Storage using Geminare's cloud Archive on GCP is a natural fit," said Joshua Geist, president and CEO, Geminare. "With the ability to store and retrieve huge data sets at blazing fast speeds, users of cloud Archive can access data in a fraction of the time it would take to even find it via traditional backup methods, making any customers with large data sets prime candidates for cloud Archive."