ScaleOut StateServer is a distributed, in-memory data grid (IMDG) and cache that enables applications to store, access, and update fast-changing data at memory speed across a cluster of servers. It is designed for operational systems that require instant access to data such as web sessions, business logic objects, and real-time pricing. The system automatically partitions and balances data across servers, scales storage and throughput as more servers are added, and ensures high availability through multi-server replication and automated failover. APIs are available for .NET, Java, C/C++, and REST, allowing seamless integration with diverse application environments. The solution eliminates database bottlenecks, reduces latency, and provides robust, self-healing mechanisms for mission-critical workloads.

Key Features

Distributed In-Memory Data Grid Stores millions of serialized objects in memory for rapid access and updates.

• Eliminates database bottlenecks
• Enables memory-speed data access for applications

Automatic Scalability Seamlessly scales storage and throughput by adding servers to the cluster.

• Dynamic partitioning and load balancing
• Elastic scaling in cloud and on-premises environments

High Availability & Fault Tolerance Replicates data across up to three servers and uses quorum-based technology.

• Automatic failover and self-healing
• Maintains data availability during server/network failures

Easy-to-Use APIs Provides comprehensive APIs for popular programming environments.

• .NET, Java, C/C++, and REST support
• Uniform access to stored objects from any server

Flexible Deployment Runs as a Windows service or Linux daemon; deployable on-premises or in the cloud.

• Integrates with web farms and application clusters
• Supports both cloud-native and traditional environments

Advanced Features Includes parallel query, object browser, backup/restore, object locking, and flexible expiration policies.

• Parallel operations for fast analytics
• Object expiration, LRU reclamation, and dependency management

Benefits

Performance and Scalability Delivers fast response times and scales linearly with workload growth.

• Handles large, fast-changing workloads efficiently
• Maintains low latency as demand increases

Reliability for Mission-Critical Applications Ensures continuous access to data even during server failures.

• Reduces risk of data loss
• Minimizes downtime via automated recovery

Simplified Management Automates data distribution, failover, and recovery.

• Reduces operational complexity
• Frees developers to focus on business logic instead of infrastructure

Cost-Effectiveness Reduces reliance on expensive database servers for operational data.

• Lowers infrastructure costs
• Improves resource utilization