Redis

Redis is an in-memory data structure store used as a primary database, cache, or message broker. Unlike traditional disk-based databases, it keeps all data in RAM, which results in high throughput and low latency for read and write operations across various data types.

How it works

It follows a single-threaded architecture to handle requests, eliminating the need for complex locking mechanisms and race conditions. Data persistence is achieved through asynchronous snapshots (RDB) or Append-Only Files (AOF), allowing recovery after a restart while maintaining peak performance.

Common use cases include session management, real-time analytics, and caching frequently accessed data to reduce database load. It also provides built-in support for Pub/Sub messaging patterns and stream processing for high-load systems.

• Benchmarking shows Redis can handle over 100,000 requests per second with minimal CPU overhead.
• The GET and SET commands operate with O(1) time complexity for simple keys.
• Native support for clustering allows horizontal scaling and high availability across multiple nodes.