Redis
Redis helps organizations build fast applications with a real-time data platform. It provides cloud and on-premises databases for caching, vector search, NoSQL/document workloads, and other real-time use cases.
At a Glance
- Developers and engineering teams building real-time applications
- AI/ML and generative-AI application teams
- Digital-native businesses and internet companies
- Fortune 500 and large enterprises
- +2 more
AI Tools by Redis
(1)
Redis Cloud
Managed Redis for AI Apps
Discussions
No discussions yet
Be the first to start a discussion about Redis
Latest News
Redis announced scaling workloads without paying all-RAM prices, highlighting its Flex storage/scaling approach.
Redis expanded its strategic collaboration agreement with AWS to accelerate real-time data and AI applications.
Redis announced its Fall Release with updates across Redis for AI, Redis Cloud and Redis Open Source.
Redis announced its planned acquisition of Decodable to turbocharge its real-time data platform.
Products & Services
Open-source in-memory data store and real-time database supporting rich data structures, caching, messaging, and high-performance application workloads.
Generally available Redis release adding eight data structures, including vector sets (beta), JSON, time series, and probabilistic structures, with major performance improvements.
Fully managed database-as-a-service on major public clouds, with scaling, high availability, Redis Query Engine, vector search, hybrid/multi-cloud and BYOC options.
Enterprise-grade self-managed/on-premises and hybrid-cloud Redis with higher availability, security, resilience, and operational controls.
Market Position
Redis positions itself as a high-performance real-time data platform rather than only a cache, combining an in-memory database with document, vector, search, query and AI-agent-memory capabilities. Its competitive set includes Amazon ElastiCache/Memorystore, MongoDB, DynamoDB, Hazelcast, Aerospike, Couchbase, Snowflake and specialized vector databases; Redis differentiates with very low latency, broad data structures, a unified query engine, open-source roots and managed plus self-managed deployment options.
Leadership
Founders
Ofer Bengal
Co-founder and chairman. Before Redis, he founded and served as CEO of RiT Technologies.
Yiftach Shoolman
Co-founder and president. Previously founder, president and CTO of Crescendo Networks (acquired by F5); VP of software development at Native Networks (acquired by Alcatel); and VP of software engineering in ECI Telecom's broadband division.
Executive Team
Rowan Trollope
Chief Executive Officer
Former CEO of Five9, where he quadrupled revenue and built a billion-dollar business; previously SVP and GM of Cisco's Applications Group and an executive at Symantec.
Benjamin Renaud
Chief Technology Officer
Former Airbnb engineering/product/design leader; co-founded Urbandoor, co-founded Versly (acquired by Cisco), and previously held engineering leadership roles at Cisco, BEA Systems and WebLogic.
Board of Directors
Founding Story
Redis was founded in 2011 around the idea that database-market winners would be defined by performance. Ofer Bengal and Yiftach Shoolman built the company to turn Redis's speed and in-memory data model into an enterprise-grade real-time data platform.
Business Model
Revenue Model
Usage-based and subscription revenue from managed Redis Cloud plans, enterprise Redis Software/Enterprise licenses and support, and annual enterprise deployments; Cloud is also sold through partner marketplaces.
Pricing Tiers
Shared cloud deployment; on-demand pricing.
Shared cloud deployment; on-demand pricing.
Dedicated cloud deployment; on-demand pricing, with annual options.
Annual plan supporting multi-cloud, hybrid-cloud and on-premises deployment; Flex supports TB-scale data and adjustable RAM/Flash ratios.
Target Markets
- Developers and engineering teams building real-time applications
- AI/ML and generative-AI application teams
- Digital-native businesses and internet companies
- Fortune 500 and large enterprises
- Financial services, retail, gaming, telecommunications and media companies
- Organizations requiring cloud, hybrid-cloud or on-premises deployment
- Application and database caching
- Session management and authentication-token storage
- Real-time analytics, leaderboards and personalization
- Document and NoSQL database workloads
- Full-text, vector and hybrid search
- RAG, semantic caching, semantic routing and short- and long-term AI-agent memory
- Niantic
- More than 10,000 customers overall
- More than 100 Fortune 500 customers