Redis

THE REAL-TIME DATA PLATFORM

In-memory data store for caching, streaming, and real-time analytics at any scale.

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Sub-millisecond latency for 99.9% of queries
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Most used data store for AI agents in 2025
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Memory reduction for optimized data types
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Average ROI for enterprise deployments

REDIS

Redis was created in 2009 by Salvatore Sanfilippo as an open-source, in-memory data structure store. What began as a solution to improve the performance of a real-time web analytics product has evolved into the world's most popular key-value database. Today, Redis powers mission-critical applications for millions of developers and thousands of enterprises across industries, from e-commerce and gaming to financial services and healthcare.

Redis is designed to deliver sub-millisecond response times, enabling real-time applications to serve millions of requests per second. As an in-memory database, Redis supports a wide range of data structures including strings, hashes, lists, sets, sorted sets, bitmaps, and streams. This versatility makes Redis ideal for use cases spanning caching, session management, real-time analytics, message queuing, leaderboards, and AI/ML model serving. Redis's simplicity, performance, and flexibility have made it the database of choice for developers building modern, data-intensive applications.

Organizations using Redis achieve dramatic improvements in application performance, scalability, and user experience. With Redis, teams can reduce database query times from seconds to milliseconds, handle millions of concurrent users with ease, and build real-time features that were previously impossible. Redis's active-active geo-replication, automatic failover, and enterprise-grade security features ensure that applications remain fast, available, and secure at any scale.

REDIS PRODUCTS & SOLUTIONS

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Redis for AI Applications

Discover how Redis powers the next generation of AI applications with vector search, semantic caching, and real-time feature serving.

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