Redis Open Source

The fastest in-memory data store for caching, real-time analytics, vector search, and more

Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine for developers building real-time data-driven applications.

Caching

Achieve sub-millisecond latency with multiple eviction policies, key expiration, and hash-field expiration for lightning-fast data access.

Session Store

Build distributed session stores with flexible data modeling using strings, JSON, or hashes for seamless user experience.

Vector Store for GenAI

Power AI applications with short-term memory, long-term memory, semantic caching, and retrieval augmented generation (RAG).

Real-Time Analytics

Enable personalization, recommendations, fraud detection, and risk assessment with in-memory processing.

Why choose Redis?

Redis is a popular choice for developers worldwide due to its combination of speed, flexibility, and rich feature set.

Performance

Redis keeps data primarily in memory and uses efficient data structures to achieve 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:

• String: Sequences of bytes for caching, counters, and bitwise operations
• JSON: Nested documents indexed and searchable using JSONPath expressions
• Hash: Field-value maps with support for hash field expiration (TTL)
• List: Linked lists for stacks, queues, and queue management
• Set: Unordered collections for tracking unique items and relations
• Sorted Set: Ordered collections for leaderboards and rate limiters
• Vector Set (beta): Vector embeddings for semantic similarity search and RAG
• Stream: Append-only logs with consumer groups for event sourcing

Extensibility

Redis has a modules API that makes it possible to extend Redis functionality and rapidly implement new Redis commands.

Features like JSON, Bloom filters, time series, and Redis Query Engine require building with the BUILD_WITH_MODULES=yes flag when compiling from source.

Key use cases

Redis excels in various applications:

Data Structure Server

Provides low-level data structures (strings, lists, sets, hashes, sorted sets, JSON) with high-level semantics (counters, queues, leaderboards, rate limiters) and supports transactions & scripting.

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.

NoSQL Data Store

Key-value, document, and time series data storage with powerful query capabilities.

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 - Self-managed software with additional compliance, reliability, and resiliency for enterprise scaling
• Redis Cloud - Fully managed service integrated with Google Cloud, Azure, and AWS

New to Redis? Continue to the quickstart guide to get up and running in minutes.

Battle-tested and ubiquitous

Redis is battle-tested in production workloads at a massive scale. There is a good chance you indirectly interact with Redis several times daily.

With a simple, text-based protocol and well-documented command set, Redis provides a powerful, fast, and flexible toolkit for solving a wide variety of data management challenges.

Next steps

Quickstart

Get started with Redis in 5 minutes

Installation

Install Redis on your platform

Data Types

Explore Redis data types