Businesses ranging from global enterprises and government agencies to large platform providers and systems integrators require tools that provide unparalleled flexibility in their ability to monitor and manage critical data. GemFire Enterprise 6.0 now features a cluster resource controller that continuously monitors resources in the distributed data fabric. With built-in instrumentation that captures throughput and latency metrics, GemFire enables applications to sense changing performance patterns and proactively provision extra resources and trigger rebalancing of predictable data access throughput and latency without the need to overprovision capacity. Together, the new features combine to offer unprecedented improvements in ease-of-use and manageability of data over a distributed architecture.
âGemStone customers demand the most effective and cost-efficient solutions available for optimizing their data management infrastructures to ensure fast and reliable access to mission-critical data,â said Raj Kulkarni, chief operating officer, GemStone. âGemFire Enterprise 6.0 will ensure that customers can balance distribution of data and scale this distribution to any size organization. Furthermore, it will provide protection against the loss of critical data by offering increased resiliency of the data infrastructure as data moves throughout the network.â
Other new features in GemFire Enterprise 6.0 include:
â¢ Data-aware application behavior routing: Several extensions have been added to the GemFire data-aware function execution service. Applications invoke functions identifying the data dependency and the service parallelizes the execution of the application function on all the grid nodes where the data is being managed. This service offers linear scalability for compute- and data-intensive applications. Simply add more nodes when demand spikes to rebalance data and behavior to increase the overall throughput for the application.
â¢ API additions for C++, C#: Support for continuous querying, client-side connection pooling and dynamic load balancing and the ability to invoke server-side functions.
â¢ Cost-based query optimization: Compact indexes and cost-based optimization to the query processor offer higher performance with a smaller memory footprint.
â¢ Developer productivity: A new graphical Data Browser permits browsing and editing of data across the entire data fabric and execution of ad-hoc queries. It also allows creation of real-time table views that are kept up-to-date through continuous queries. The Data Browser facilitates rapid iterative development.
âOur customers require flexible, scalable data management solutions that enable them to monitor their data infrastructures and balance critical data delivery without impeding productivity or the speed of the overall business,â said Richard Lamb, president, GemStone. âOur GemFire Enterprise platform has for years delivered on the advanced functionality to support these requirements, and GemFire Enterprise 6.0 now takes our platform to the next level. We are proud to deliver this unparalleled data management functionality to our valued customers, and look forward to working with them on future solutions that meet and exceed their data management requirements.â