ScaleOut StateServer’s in-memory data grid meets this need by keeping data in memory for fast access and using all servers to handle access requests in parallel.
In Memory Data Grid Platform
• Comprehensive, Easy-to-Use APIs
• Parallel Query
• Powerful Feature Set
• Powerful Management Tools
Contact for pricing
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
ScaleOut StateServer’s in-memory data grid meets this need by keeping data in memory for fast access and using all servers to handle access requests in parallel. With its blazing performance, comprehensive APIs, patented high availability, and self-managing features, ScaleOut StateServer provides the leading in-memory distributed caching solution available today. ScaleOut StateServer has been deployed on thousands of servers across hundreds of production systems. Its patented technology delivers industry-leading performance and stability. With APIs for Java, .NET, & C/C++ and REST, ScaleOut StateServer offers a full range of powerful yet easy to use features for storing and managing memory-based data. ScaleOut StateServer automatically scales its storage capacity and access throughput as the application’s workload grows. It does this by partitioning the stored data and dynamically balancing the amount stored on each server in the grid. This automatically adjusts the relative usage by each server as needed to scale throughput and maintain fast response times. When running ScaleOut StateServer in the cloud, it becomes a fully “elastic” in-memory store — able to expand to handle peak workloads and then shed resources when not needed. ScaleOut StateServer is designed from the inside out to scale every aspect of its architecture and avoid bottlenecks that limit scalability. Performance tests confirm that it delivers consistently fast access times by linearly scaling throughput as servers are added to the in-memory data grid.