Enterprises looking to harness distributed resources into an enterprise data fabric (EDF) are turning toward sophisticated data management and virtualization solutions to overcome latency issues that arise between clustered applications and back-end data sources.
GemStone Systems says it has devised a new means of managing data in-memory with the latest release of the GemFire Enterprise platform to allow the kind of predictable, high-throughput networking needed to consolidate disparate machines into a single logical data unit.
GemFire uses native C++/C# asynchronous caching capabilities to provide end-to-end scalability and guard against server failure. The new version also features improved redundancy through partitioned data regions geared up for automatic failover. It also provides concurrent workload management that allows individual users access to hundreds of client connections.
An improved data fabric is particularly important to enterprises looking to set up grid computing networks.