By enabling extremely fast and scalable data access even under large and growing workloads, in-memory data grids (IMDGs) have proven their value in storing fast-changing application data, such as financial trading data, shopping data, and much more. As organizations work to efficiently access their critical business data across multiple sites or scale their processing into the cloud, the need rapidly has grown to quickly and seamlessly migrate data where it is needed. The use of IMDGs creates an exciting opportunity for organizations to employ powerful global strategies for data sharing.
Federating IMDGs across multiple sites enables seamless, transparent access to data from any site and provides an ideal solution to the challenge of global data integration.
Distributed data grids have been receiving more attention lately due to the scalability provided by the cloud and the increasing need for users to do more with record amounts of data in near real-time. We talk with Dr. William Bain, founder and CEO of ScaleOut Software about scalability, the history of parallel computing and of course, distributed data grids–and how the cloud is changing all three.