In-Memory Data Grid
An In-Memory Data Grid (IMDG) is a distributed computing platform that stores data in RAM across multiple nodes to provide high-speed access and processing. It enables applications to scale horizontally by distributing data and computations across a cluster, offering features like caching, distributed computing, and real-time analytics. IMDGs are designed for low-latency, high-throughput scenarios where traditional disk-based databases are insufficient.
Developers should use IMDGs when building applications that require real-time data processing, such as financial trading systems, gaming leaderboards, or IoT analytics, due to their sub-millisecond latency. They are ideal for scaling stateful applications in microservices architectures, handling large datasets in memory to boost performance. IMDGs also support distributed caching to reduce database load and improve application responsiveness in high-traffic environments.