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Transparent Data Access Inside the In-Memory Data Grid (IMDG)

ScaleOut Software's in-memory data grid (IMDG) portfolio has expanded this month with the public cloud support features now included in the firm's StateServer version 5 product. Version 5 also includes a property-based parallel query function and global data integration features.

NOTE: In-Memory Data Grid technology works to provide software application developers with the capability to parallelize data storage by creating a store for partitioned data in an in-process memory format. This, in essence, means that the data is then located in the closest possible location that it can theoretically be in with relation to the application that uses it.

The company justifies its product updates saying that we are currently in an environment where the use of IMDGs is "quickly expanding" and the need for scalability to hundreds of servers has emerged. This expansion came about as there has been an equal growth in the requirement to handle increased workloads and to enable the use of IMDGs for real-time data analytics.

With Version 5 it is now "possible and practical" to deploy very large in-memory data grids holding terabytes of data that provide elasticity and power.

"According to our research, nearly one-third of organizations are using cloud computing services as a cost containment strategy in 2012," said Brian Babineau, vice president of Enterprise Strategy Group. "One of the easiest ways to achieve this objective is using scalable, on-demand compute resources to run performance-intensive applications. The rapid adoption of in-memory data grids is an important enabler for this strategy because they provide the elastic architecture to easily boost application response times across servers. The next logical step is to expand the use of data grids and in-memory computing for fast data analysis in the cloud."

Version 5 of this product is said to be the first IMDG to link together in-memory data grids at multiple sites, including the cloud, into a single logically coherent grid.

This feature enables the seamless migration of data across geographies without the need to replicate data from site to site. With Version 5, users are now able to transparently combine multiple IMDGs into a single, virtual data grid to simplify data access and speed program development.

"Replicating data to every location is not practical, and manually migrating data on demand is costly, error-prone, and inefficient. However, by helping developers and architects transparently access data from any networked data grid location, we can dramatically simplify their applications and create important new capabilities, such as seamlessly migrating application data into the cloud for processing," said Dr. William L. Bain, founder and CEO of ScaleOut Software.

Analysts using IMDGs for fast, in-memory analytics may now also benefit from this release, as it advances the use of IMDGs for data mining and analysis; i.e., the global data integration feature enables users to broaden the reach for data to be analyzed. Version 5 is cloud-ready and available for use in the public cloud.

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