The in-memory data store used by millions of developers as a cache, vector database, document database, streaming engine, and message broker. Core capabilities

In-memory data structures: Well-known as a "data structure server", with support for strings, hashes, lists, sets, sorted sets, streams, and more. Programmability: Server-side scripting with Lua and server-side stored procedures with Redis Functions. Extensibility: A module API for building custom extensions to Redis in C, C++, and Rust. Persistence: Keeps the dataset in memory for fast access, but can also persist all writes to permanent storage to survive reboots and system failures. Clustering: Horizontal scalability with hash-based sharding, scaling to millions of nodes with automatic re-partitioning when growing the cluster. High availability: Replication with automatic failover for both standalone and clustered deployments.

Use cases

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. Caching & session storage: Redis' speed makes it ideal for caching database queries, complex computations, API calls, and session state. 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.