Amazon MemoryDB
Learn how MemoryDB allows developers to design ultra-low latency in cloud-native applications.
Amazon MemoryDB is a fully managed, in-memory primary database designed for ultra-low latency and high durability. It stores the entire dataset directly in memory across multiple compute nodes, delivering microsecond-level read and single-digit millisecond write performance.
MemoryDB supports both Redis and Valkey, two popular open-source in-memory data stores. This compatibility allows developers to build cloud-native applications and microservices using familiar APIs and data structures with a fully managed backend service.
Unlike traditional architectures that combine a database with a caching layer to balance speed and persistence, MemoryDB provides a unified solution. It serves as a high-speed primary database and spares the hassle of setting up separate caches and databases for low-latency applications.
Before further discussing the key applications of MemoryDB, let’s first understand its components.
Core components
MemoryDB for Redis works in cluster formation. Each cluster consists of shards containing nodes. Let’s briefly look at these core components of the MemoryDB cluster.
Nodes: A node is an EC2 instance that runs a ...