Cloud Cybersecurity & Infrastructure Resilience · B2B SaaS Provider
Redis
In-memory database platform for caching, real-time data and AI workloads.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Redis Ltd.
- Entity type
- COMPANY
- Founded
- 2011
- Headquarters
- Alon 2 Tower, 32nd Floor, 94 Yigal Alon St., Tel-Aviv 6789140, Israel
- Company size
- 1,001–5,000
- Market cluster / sector
- Cloud Cybersecurity & Infrastructure Resilience
- Market role
- B2B SaaS Provider
- Official website
- redis.io
What Redis does
Redis creates value by providing a high-performance data layer for modern applications and monetising that utility across multiple deployment models. The open-source product drives widespread developer adoption, while paid offerings convert that demand into recurring revenue via managed DBaaS, self-managed enterprise software, premium support, and implementation services. The company also expands account value through adjacent tools such as observability, data integration, and AI-oriented semantic caching and vector capabilities.
Category differentiation
This is the infrastructure software company behind Redis database products, not a retail, adtech, or consumer internet business. It should also be distinguished from hyperscaler database services that may offer competing managed caching products.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Redis is a private infrastructure software company best known for its in-memory data platform used in caching, streaming, session storage, real-time application workloads, and increasingly AI application memory and vector search. Its commercial portfolio includes a managed cloud service, self-managed enterprise software, developer and observability tools, data integration products, and professional services. The company primarily serves developers, platform teams, enterprise IT, SRE, data engineering, and AI engineering buyers. Redis makes money through paid cloud subscriptions and usage, enterprise software licensing and support, and consulting services, while its free open-source product broadens adoption and feeds its commercial funnel. The business model combines developer-led distribution with enterprise upsell, positioning Redis as application infrastructure rather than a consumer platform or adtech business.
Company news briefing
Briefing updated:
Following the general availability of its Data Integration service on AWS, Redis has further embedded itself as a critical layer for AI and SaaS infrastructure. Recent technical developments formalise its role in managing multi-tenant LLM rate limiting and idempotent webhook handling for reliable SaaS billing systems. These updates, alongside its continued integration into observability frameworks like Langfuse and high-performance Next.js caching architectures, reinforce Redis’s position as the primary standard for operational resilience and scalable data management in distributed, data-intensive environments.
Business model & monetisation
Redis uses a hybrid monetisation model. Open-source software is free and functions as top-of-funnel distribution. Paid revenue comes primarily from recurring subscriptions and consumption for Redis Cloud, enterprise licensing and support for self-managed Redis Software and Redis Enterprise, and additional service fees for architecture, deployment, migration, and optimisation work. Pricing evidence points to low-entry self-serve cloud plans alongside larger enterprise contracts with support and SLA components.
- Managed cloud database service
- SaaS subscription and usage-based pricing
- Self-managed enterprise software
- Enterprise licensing and support subscription
- Professional services
- Service fee / retainer
- Premium support and SLAs
- Support subscription
- Open-source distribution
- Free adoption funnel
Products & capabilities
No products with linked sources are available in this view.
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Competitors & alternatives
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Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Redis expands strategic collaboration agreement with AWS to accelerate real-time data and AI apps
Recorded impact score: 2/5
Redis announced an expansion of its strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to help organizations build, modernize, and scale real-time and AI-powered applications on AWS. The expanded collaboration focuses on four areas: accelerating production AI apps, modernizing mission-critical apps, simplifying procurement through AWS Marketplace, and expanding customer engagement. Redis Cloud is already available through AWS Marketplace.
- Redis announced an expansion of its strategic collaboration agreement (SCA) with AWS on September 29, 2026.
- The collaboration focuses on four areas: accelerating production AI apps, modernizing mission critical apps, simplifying procurement through AWS Marketplace, and expanding customer engagement.
The official FastAPI Redis SDK is now available
Recorded impact score: 2/5
Redis announced the official FastAPI Redis SDK, developed in collaboration with the FastAPI team. The SDK integrates Redis with FastAPI's dependency model, offering lifecycle-bound connection management, sync and async dependencies, caching, cache-control headers, and rate limiting. It supports self-managed FastAPI and FastAPI Cloud, which is in public beta and includes Redis Cloud as a native integration. The package is available on PyPI.
- Redis released the official FastAPI Redis SDK, built with the FastAPI team and available on PyPI.
- The SDK provides lifecycle-bound connection management, sync and async dependencies, caching, cache-control headers, and rate limiting.
Announcing Redis 8.10: Compact Hash, JSONPath extensions, performance improvements, & more
Recorded impact score: 4/5
Redis 8.10 introduces Compact Hash, JSONPath extensions, and performance improvements. The blog post is dated September 14, 2026.
FastAPI per-tenant Claude API Keys & Rate Limits
Conversational AI & Chatbots · Recorded impact score: 2/5
A technical how-to demonstrating how to use FastAPI dependency injection to create tenant-specific Anthropic Claude clients and per-tenant rate-limit buckets. The article presents a Tenant model with encrypted API key storage, an in-memory RateLimitBucket class (with a recommendation to use Redis for distributed deployments), and dependency providers (get_tenant_id, get_tenant, get_claude_client, get_rate_limit_bucket, check_rate_limit). It warns against using lru_cache for tenant lookups (stale credentials) and shows handler examples that enforce tenant isolation and rate limiting for multi-tenant LLM usage.
- Author uses FastAPI dependency injection to create tenant-specific Anthropic Claude clients and rate-limit buckets.
- Tenant model includes fields: anthropic_api_key, max_requests_per_minute, and preferred_model.
Resilient Real-Time Systems with WebSockets & Redis Pub/Sub
Infrastructure · Recorded impact score: 1/5
This technical guide explains how to build resilient, low-latency real-time systems by combining persistent WebSocket client-server connections with Redis as a central pub/sub broadcast layer, distributed state store, and cache. It describes architectural patterns for scaling (single server, multiple WebSocket servers + single Redis, and Redis Cluster), and explains when to integrate durable queues (Kafka/RabbitMQ/AWS SQS) for persistence and guaranteed delivery. The article includes a concrete Node.js example (ws and ioredis: server.js, publisher.js, client.html) and Docker, plus client reconnection best practices (exponential backoff) and session persistence in Redis to allow resuming on another instance. Operational topics covered are Redis high availability (Sentinel/Cluster), sharding and serialization, backpressure handling, load balancing, security, idempotency, and monitoring. It also discusses operational deployment patterns, monitoring metrics, and security practices for production environments.
- Combines persistent WebSocket client connections with Redis Pub/Sub as a broadcast layer and Redis as a distributed state store and cache.
- Covers scaling patterns: single server, multiple WebSocket servers + single Redis, and multiple servers with Redis Cluster for sharding and horizontal scale.
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Questions about Redis
What is Redis?
Redis is an infrastructure software company that provides an in-memory data platform for caching, streaming, real-time workloads, and AI applications through open-source, cloud, and enterprise products.
Who uses Redis?
Redis is used by developers, startups, enterprises, platform teams, DevOps and SRE teams, database administrators, data engineers, and AI engineers building low-latency applications.
How does Redis make money?
Redis makes money through managed cloud subscriptions and usage fees, enterprise software licensing and support, and professional services, while the open-source product drives adoption.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
19 publicly documented primary sources and citations linked across the market graph.
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