redis

This document serves as both a quick start guide to Redis and a detailed resource for building it from source. New to Redis? Start with What is Redis and Getting Started Ready to build from source? Jump to Build Redis from Source Want to contribute? See the Code contributions section and CONTRIBUTING.md Looking for detailed documentation? Navigate to redis.io/docs Table of contents What is Redis? Key use cases Why choose Redis? What is Redis Open Source? Getting started Redis starter projects Using Redis with client libraries Using Redis with redis-cli Using Redis with Redis Insight Redis data types, processing engines, and capabilities Community Build Redis from source Build and run Redis with all data structures - Ubuntu 20.04 (Focal) Build and run Redis with all data structures - Ubuntu 22.04 (Jammy) / 24.04 (Noble) Build and run Redis with all data structures - Debian 11 (Bullseye) / 12 (Bookworm) Build and run Redis with all data structures - AlmaLinux 8.10 / Rocky Linux 8.10 Build and run Redis with all data structures - AlmaLinux 9.5 / Rocky Linux 9.5 Build and run Redis with all data structures - macOS 13 (Ventura) and macOS 14 (Sonoma) Build and run Redis with all data structures - macOS 15 (Sequoia) Building Redis - flags and general notes Fixing build problems with dependencies or cached build options Fixing problems building 32 bit binaries Allocator Monotonic clock Verbose build Running Redis with TLS Code contributions Redis Trademarks What is Redis? For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. Key use cases Redis excels in various applications, including: Caching: Supports multiple eviction policies, key expiration, and hash-field expiration. Distributed Session Store: Offers flexible session data modeling (string, JSON, hash). Data Structure Server: Provides low-level data structures (strings, lists, sets, hashes, sorted sets, JSON, etc.) with high-level semantics (counters, queues, leaderboards, rate limiters) and supports transactions & scripting. NoSQL Data Store: Key-value, document, and time series data storage. Search and Query Engine: Indexing for hash/JSON documents, supporting vector search, full-text search, geospatial queries, ranking, and aggregations via Redis Query Engine. Event Store & Message Broker: Implements queues (lists), priority queues (sorted sets), event deduplication (sets), streams, and pub/sub with probabilistic stream processing capabilities. Vector Store for GenAI: Integrates with AI applications (e.g. LangGraph, mem0) for short-term memory, long-term memory, LLM response caching (semantic caching), and retrieval augmented generation (RAG). Real-Time Analytics: Powers personalization, recommendations, fraud detection, and risk assessment. Why choose Redis? Redis is a popular choice for developers worldwide due to its combination of speed, flexibility, and rich feature set. Here's why people choose Redis for: Performance: Because Redis keeps data primarily in memory and uses efficient data structures, it achieves extremely low latency (often sub-millisecond) for both read and write operations. This makes it ideal for applications demanding real-time responsiveness. Flexibility: Redis isn't just a key-value store, it provides native support for a wide range of data structures and capabilities listed in What is Redis? Extensibility: Redis is not limited to the built-in data structures, it has a modules API that makes it possible to extend Redis functionality and rapidly implement new Redis commands Simplicity: Redis has a simple, text-based protocol and well-documented command set Ubiquity: Redis is battle tested in production workloads at a massive scale. There is a good chance you indirectly interact with Redis several times daily Versatility: Redis is the de facto standard for use cases such as: Caching: quickly access frequently used data without needing to query your primary database Session management: read and write user session data without hurting user experience or slowing down every API call Querying, sorting, and analytics: perform deduplication, full text search, and secondary indexing on in-memory data as fast as possible Messaging and interservice communication: job queues, message brokering, pub/sub, and streams for communicating between services Vector operations: Long-term and short-term LLM memory, RAG content retrieval, semantic caching, semantic routing, and vector similarity search In summary, Redis provides a powerful, fast, and flexible toolkit for solving a wide variety of data management challenges. If you want to know more, here is a list of starting points: Introduction to Redis data types The full list of Redis commands Redis for AI Redis documentation What is Redis Open Source? Redis Community Edition (Redis CE) was renamed Redis Open Source with the v8.0 release. Redis Ltd. also offers Redis Software, a self-managed software with additional compliance, reliability, and resiliency for enterprise scaling, and Redis Cloud, a fully managed service integrated with Google Cloud, Azure, and AWS for production-ready apps. Read more about the differences between Redis Open Source and Redis here. Getting started If you want to get up and running with Redis quickly without needing to build from source, use one of the following methods: Redis Cloud Official Redis Docker images (Alpine/Debian) docker run -d -p 6379:6379 redis:latest Redis binary distributions Snap Homebrew RPM Debian Redis quick start guides If you prefer to build Redis from source - see instructions below. Redis starter projects To get started as quickly as possible in your language of choice, use one of the following starter projects: Python (redis-py) C#/.NET (NRedisStack/StackExchange.Redis) Go (go-redis) JavaScript (node-redis) Java/Spring (Jedis) Using Redis with client libraries T