Redis Data Structures
Redis supports strings, lists, sets, sorted sets, hashes, streams, bitmaps, and HyperLogLogs. Each structure solves different problems: sorted sets for leaderboards, streams for event logs.
What is Redis Data Structures?
Redis supports strings, lists, sets, sorted sets, hashes, streams, bitmaps, and HyperLogLogs. Each structure solves different problems: sorted sets for leaderboards, streams for event logs.
Redis Data Structures is a intermediate-level concept that sits in the Database Types & Storage area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Redis Data Structures" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
Learn Redis Data Structures in depth
Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
Open the Redis Data Structures lessonSee also
Related glossary terms you might want to look up next.
Redis
An in-memory data store used as a cache, message broker, and database. Blazing fast because everything lives in RAM.
Caching
Storing frequently accessed data in a faster storage layer so you don't have to fetch it from the original (slower) source every time.
Key-Value Store
The simplest NoSQL model: store data as key-value pairs. Blazing fast lookups by key. Redis, DynamoDB, and etcd are key-value stores.