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GemStone's Enterprise Data Fabric Supports C++

Company Focuses on a Low Latency, Virtualized Data Approach
By Java News Desk
Article Rating:
September 13, 2005 12:15 PM EDT
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 10,147
Low-latency in environments such as trading can translate to millions of dollars in increased volumes. A large percentage of industrial grid deployments and analytic environments are based upon C/C++ languages. Such environments can greatly benefit from an EDF such as GemFire Enterprise – C++.

Key features of GemFire Enterprise – C++ include:
* Flexible distributed caching topologies that guarantee blazing performance
* Low-latency and highly optimized transport layer
* Parallel distribution capabilities for extremely high throughout
* Flexible replication policies for high data availability
* Optimal utilization of system resources like CPU and threads to avoid contentions
* Rich graphical console for configuration, monitoring and tuning

“We have recognized a strong demand for native data management of C/C++ applications in the market place,” said Shankar Iyer, executive vice president, GemStone Systems. “By developing a C++ deployment topology within GemFire suite of products, we’ve brought to the market a method to improve data flows in truly heterogeneous environments.”

Published September 13, 2005 – Reads 10,147
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SOA Web Services Journal 09/13/05 12:25:38 PM EDT

GemStone's Enterprise Data Fabric Supports C++
GemStone says its GemFire is unique in its ability to offer native support for multiple languages and formats: XML, C++, Java, among others. This means that applications no longer need to adhere to different protocols to access data, and are also not required to perform expensive unmarshalling and transformation operations.
JDJ News Desk 09/13/05 11:47:23 AM EDT

GemStone says its GemFire is unique in its ability to offer native support for multiple languages and formats: XML, C++, Java, among others. This means that applications no longer need to adhere to different protocols to access data, and are also not required to perform expensive unmarshalling and transformation operations.