# Redis

**Source:** https://geo.sig.ai/brands/redis  
**Vertical:** Data & Analytics  
**Subcategory:** General  
**Tier:** Leader  
**Website:** redis.io  
**Last Updated:** 2026-04-14

## Summary

In-memory database powering caches, sessions, and real-time AI workloads; Vector Search enables RAG applications using Redis as combined cache and vector store.

## Company Overview

Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine, and the company Redis Ltd. provides enterprise-grade Redis products and cloud hosting services. Created in 2009 by Salvatore Sanfilippo (antirez), Redis became one of the most popular open-source projects in computing, used by virtually every major technology company for caching, session management, real-time analytics, and pub/sub messaging. Redis Ltd. (the commercial company) was founded to provide enterprise support, Redis Enterprise features, and the Redis Cloud managed service.

The open-source Redis project changed its license from BSD to RSAL (Redis Source Available License) in 2024, a controversial decision reflecting tensions between the commercial Redis company and cloud providers like AWS, Azure, and Google who were offering managed Redis services without contributing to development. This prompted the Linux Foundation and major cloud providers to fork the project as Valkey, creating a community-maintained BSD-licensed alternative.

In 2025, Redis Ltd. navigates the competitive and community dynamics following the license change. Redis Cloud continues growing as enterprises need managed Redis infrastructure for AI workloads — vector search capabilities in Redis have become important for RAG applications that use Redis as a real-time vector database alongside application cache. Redis competes with Valkey (the fork), AWS ElastiCache/MemoryDB, and purpose-built vector databases like Pinecone and Weaviate. The company's 2025-2026 positioning emphasizes real-time AI applications where Redis's microsecond latency and combined cache-vector-database capabilities provide unique value.

## Frequently Asked Questions

### What is Redis?
Redis is an in-memory data structure store that serves as a leading data platform for real-time applications. Founded in 2011, Redis specializes in caching, real-time analytics, and messaging solutions for businesses requiring high-performance data operations.

### What products and services does Redis offer?
Redis offers in-memory database, caching solutions, real-time analytics, message broker, and session management capabilities. The company also provides Redis Stack, which includes JSON, Search, TimeSeries, and Bloom filter functionalities.

### Who are Redis's typical customers?
Redis serves 8,500 customers worldwide, including Fortune 500 companies. The platform is designed for businesses requiring real-time applications and high-performance data operations.

### When was Redis founded and where is it located?
Redis was founded in 2011 and is headquartered in Mountain View, California.

### How much funding has Redis raised?
Redis has raised a total of $355 million in funding from investors including Tiger Global, SoftBank Vision Fund 2, and Bain Capital Ventures. The company achieved a $2B+ valuation from its April 2021 Series G funding round.

### What is Redis's current revenue?
Redis generated $209.8 million in revenue in 2024, representing significant growth from $154.2 million in 2023.

### What technology approach does Redis use?
Redis uses an in-memory data structure store architecture, which enables high-performance data operations for real-time applications. This approach makes it particularly effective for caching, analytics, and messaging workloads.

### What recent developments has Redis announced?
In 2024, Redis expanded its vector database capabilities specifically for AI/ML workloads. The company has positioned itself as a leading in-memory data platform for real-time applications with its enhanced Redis Stack offering.

### What is Redis Stack?
Redis Stack is an enhanced offering that includes JSON, Search, TimeSeries, and Bloom filter capabilities. It extends Redis's core in-memory database functionality to support a broader range of real-time application use cases.

### How does Redis support AI and machine learning workloads?
Redis has expanded its vector database capabilities in 2024 to specifically support AI/ML workloads. This enhancement allows the platform to handle the demanding real-time data requirements of artificial intelligence and machine learning applications.

## Tags

analytics, b2b, enterprise, open-source, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*