Redis
Databases & Data Technologies
Redis
Redis is an in-memory data store used as a database, cache, and message broker. It delivers ultra-low latency and high throughput, making it ideal for caching, real-time analytics, and distributed systems.
What is it?
Redis is an open-source, in-memory data structure store that supports key-value data models. It is commonly used as a database, cache, and message broker in modern application architectures; RabbitMQ is another option for the message broker role.
What does it do?
Redis stores data in memory to provide extremely fast read and write operations. It supports advanced data structures such as strings, hashes, lists, sets, streams, and pub/sub messaging.
Where is it used?
Redis is widely used in caching layers, session management, real-time analytics, queues, rate limiting, leaderboards, and microservices architectures requiring high performance.
When & why it emerged
Redis was created in 2009 to address performance limitations of disk-based databases. It emerged as a solution for applications that required fast data access and predictable latency.
Why we use it at Internative
We use Redis to optimize system performance and scalability. It helps us reduce database load, enable real-time features, and build responsive, high-throughput applications.
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