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A vibrant community
Voted the most-loved database, Redis is at the center of an engaged community of developers, architects, and contributors.
- 4B+ Docker pulls
- 60K+ Github stars
- 50+ Supported programming languages
Core capabilities
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In-memory data structures
Well-known as a "data structure server", with support for strings, hashes, lists, sets, sorted sets, streams, and more.
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Programmability
Server-side scripting with Lua and server-side stored procedures with Redis Functions.
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Extensibility
A module API for building custom extensions to Redis in C, C++, and Rust.
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Persistence
Keeps the dataset in memory for fast access, but can also persist all writes to permanent storage to survive reboots and system failures.
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Clustering
Horizontal scalability with hash-based sharding, scaling to millions of nodes with automatic re-partitioning when growing the cluster.
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High availability
Replication with automatic failover for both standalone and clustered deployments.
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Use cases
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Real-time data store
Redis' versatile in-memory data structures enable building data infrastructure for real-time applications that require low latency and high-throughput.
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Caching & session storage
Redis' speed makes it ideal for caching database queries, complex computations, API calls, and session state.
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Streaming & messaging
The stream data type enables high-rate data ingestion, messaging, event sourcing, and notifications.
Redis Stack
Redis Stack extends Redis with modern data models and processing engines to provide a complete developer experience. Download the source, install using your favorite package manager, or spin it up for free in the cloud.
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Redis Stack Server lets you build applications with searchable JSON and time series data models, and extended probabilistic data structures.
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Get productive quickly with the Redis Stack object mapping and client libraries.
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Visualize and optimize your Redis data with RedisInsight.
Redis Stack use cases
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Searchable Redis
Index and query Redis data structures and data models; run complex aggregations and full-text search on your Redis data.
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Document database
Leverage JSON and its flexible data model to use Redis as a document database. Model, search, and query your data efficiently without needing an additional cache. See the quick start guide for more information.
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Telemetry
Ingest continuous readings from devices in the field, storing as time series data or analyzing and deduplicating with probabilistic data structures.
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Identity and resource management
Define digital resources and ACLs as a graph, and compute permissions in real-time with a single Cypher query.
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Vector search
Develop AI-powered applications by querying vector embeddings. You can use Redis as a vector database to implement recommendation systems, Retrieval Augmented Generation (RAG), LLM semantic caching, and more. See the quick start guide for more information.
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Fraud detection
All the tools to detect fraud in real time, probabilistic queries, vector search, and even processing using streams.