GemStone Systems releases GemFire Enterprise 5.1

GemStone Systems, a distributed data management and virtualisation solutions provider, has introduced GemFire Enterprise 5.1, a core component of its high-performance, enterprise data fabric (EDF)
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GemStone Systems, a distributed data management and virtualisation solutions provider, has introduced GemFire Enterprise 5.1, a core component of its high-performance, enterprise data fabric (EDF).

According to GemStone, the GemFire Enterprise 5.1 serves as a distributed operational data management infrastructure that sits between clustered application processes and back-end data sources to provide low-latency, predictable, high-throughput data sharing and event distribution. By managing data in memory, GemFire Enterprise 5.1 enables data sharing that turns a network of machines into a single data management unit or data fabric.

The firm says GemFire Enterprise 5.1 introduces a set of technical features to deliver end-to-end scalability and performance improvements. By augmenting native C++/C# caching capabilities, GemFire Enterprise 5.1 provides asynchronous cache update notifications to ensure clients are protected against server failures.

"As enterprises seek to move from a typical disaster recovery scenario to a resilient architecture, companies need a dynamic distributed cache to support next-generation enterprise utilities, especially for compute-intensive, fault-tolerant applications," says Chris Wolf, senior analyst, Burton Group.

"There are a large number of variables in a distributed system which significantly increase the possibility of an error, such as loss of data consistency, missed event notifications, or failure conditions arising from applications, resource limitations or machine failures," explains Jags Ramnarayan, chief architect, GemStone Systems. "With this release, GemFire Enterprise 5.1 minimises the application risk under such conditions and specifies any level of redundancy when partitioning the data across the cluster. GemFire Enterprise 5.1 will control how the concurrent load is handled on any server by a configurable set of workers and be assured that events enqueued for delivery to clients can survive server failures," he continues.

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