Gridstore Helps Make Big Data Run Efficiently

Posted Oct 25, 2012

Gridstore is a company that has an innovate grid design that helps scale more than just your capacity.  The company helps you take the heavy loads of capacity that a web service or mobile application uses and processes it efficiently.

Gridstore can virtualizes storage controllers and move them across the network and into client machines that access the storage.  Then the vController can independently process the single workload running on that machine and it optimizes data before hitting the network.

The largest monolithic storage system with 25 cores conservatively costs around $1 million or equal for mid-sized enterprises to around 2,000 desktops.  In just a few clicks, the Grid can auto-deploy vControllers and provide over 80x the processing of the largest monolithic storage available today.

You can add simple storage blocks to a vPool and set up vStores in a vPool.  vStores are standard network shares to end users and applications.  Gridstore can also protect your disks from data center failures.  Gridstore can handle disk, storage block, network link, or controller failures.

Earlier this month Gridstore has recently raised $12.5 million in Series A funding led by ONSET Ventures and GGV Capital with participation from all existing investors.  This brings Gridstore’s total funding to $15 million.

?It?s the end of big storage. The dynamics of enterprise storage requirements are changing and 30-year-old legacy technology doesn?t cut it anymore,? said Kelly Murphy, CEO of Gridstore. ?Web-scale giants such as Amazon and Google have proven that. Gridstore is delivering the next generation of scale-out storage for the software-defined data center that can deliver the same scalability, performance and affordability to the market. Businesses no longer have to accept monolithical systems that are expensive and can?t scale. We are excited for the support of our new investors and the continued commitment of our existing investors will be instrumental as we enter the next phase of rapid growth and continued product innovation that is changing the dynamics of scale-out storage.?