Redis

What Redis does

Redis keeps data in memory so reads and writes happen in sub-millisecond time. That makes it a fit for workloads where a disk-based database is too slow: caching, session storage, rate limiting, leaderboards, and real-time messaging.

Main capabilities

• Caching — sub-millisecond reads and writes at scale
• Streaming and messaging — event-driven pipelines and pub/sub
• Session management — persistent, fast session storage
• Search — query and search over structured data, including vector search for semantic applications
• Agent memory and AI tooling — Redis Agent Memory, LangCache (caches responses to common questions to reduce token spend), and Context Retriever
• Feature store — real-time ML feature pipelines
• Data Integration — CDC across structured data
• Redis Flex — extends capacity beyond RAM for larger datasets at lower cost

Deployment options

• Redis Cloud — fully managed
• Redis Software — self-managed, on-premises
• Redis Open Source — the open source version (Redis 8.8 per the site)
• Cloud marketplaces — Redis on AWS, Azure Managed Redis, and Redis on Google Cloud

Developer tooling

Redis Insight provides a GUI to visualize, query, and debug data. RIOT handles data ingestion from external sources. Official client libraries cover Python, Node, Java, Go, .NET, and more, and there are SDKs for connecting Redis to application stacks.

Common use cases

The site documents RAG pipelines, semantic search, fraud detection, real-time decisioning, and leaderboards, with industry-specific pages for financial services, e-commerce and retail, gaming, healthcare, and telco.

Who uses it

Customer examples on the homepage include Ulta (40% increase in revenue through a Redis-powered online experience), Superlinked (100+ vector search queries per second), Sony LIV (37% faster API responses with a 15% lower memory footprint), and Plivo (over a billion API requests per month). These figures come from Redis's own case studies, so treat them accordingly.

Related tools

If you're building AI products and need managed inference rather than a data store, Stable Diffusion & LLM API offers image and LLM APIs without GPU management — a different layer of the stack, but aimed at the same developer audience.

FAQ

Is Redis open source? Yes. Redis offers an open source version — the site currently lists Redis Open Source at version 8.8 — alongside paid Cloud and Software offerings.

How much does Redis cost? The site has a pricing page, but no pricing figures appear on the homepage. Redis Cloud, Redis Software, and the marketplace offerings are priced separately; check redis.io/pricing for current numbers.

What languages does Redis support? Official client libraries exist for Python, Node, Java, Go, .NET, and others, per the client libraries documentation.

Can Redis be used for AI applications? Yes. Redis provides vector search and semantic query capabilities, agent memory, LangCache for token cost reduction, and a feature store for ML pipelines. The site also publishes an Agent Memory Benchmark report claiming 86.5% accuracy at about $0.07 per session.

Where can Redis be deployed? As a managed service (Redis Cloud), self-managed on-premises (Redis Software), as open source, or through AWS, Azure, and Google Cloud marketplaces.