New look, same Redis. We set the standard for fast. Now we’re pushing things even further so you can work faster—spending more time building and less time managing data, building fast apps with better UX, and working with fewer interruptions. See how fast feels.
Redis
Software Development
Mountain View, CA 220,050 followers
The world's fastest in-memory database.
About us
Redis is the world’s fastest in-memory database. We provide cloud and on-prem solutions for caching, vector search, and more that seamlessly fit into any tech stack. With fast setup and fast support, we make it simple for digital customers to build, scale, and deploy the fast apps our world runs on.
- Website
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http://redis.io
External link for Redis
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Mountain View, CA
- Type
- Privately Held
- Founded
- 2011
- Specialties
- In-Memory Database, NoSQL, Redis, Caching, Key Value Store, real-time transaction processing, Real-Time Analytics, Fast Data Ingest, Microservices, Vector Database, Vector Similarity Search, JSON Database, Search Engine, Real-Time Index and Query, Event Streaming, Time-Series Database, DBaaS, Serverless Database, Online Feature Store, and Active-Active Geo-Distribution
Locations
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Primary
700 E. El Camino Real
Suite 250
Mountain View, CA 94041, US
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Bridge House, 4 Borough High Street
London, England SE1 9QQ, GB
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94 Yigal Alon St.
Alon 2 Tower, 32nd Floor
Tel Aviv, Tel Aviv 6789140, IL
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316 West 12th Street, Suite 130
Austin, Texas 78701, US
Employees at Redis
Updates
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Redis powers projects beyond caching. With 14 million daily Docker pulls and more than 4 million downloads last year, devs are building all kinds of amazing apps using Redis. 🌐 Join our "Intro to Redis" demo to explore the full potential of Redis. It's a Redis deep dive, taking you through real-world use cases and live demos to get you up to speed on the world's fastest data platform. Reserve your spot now and see why Redis is the go-to for devs seeking speed and simplicity. https://lnkd.in/gWstt3rM
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Venez à la rencontre des meilleurs experts Redis en France, le 27 juin à Paris. Apprenez comment déployer et scaler vos clusters Redis, et explorez les dernières innovations en matière de recherche vectorielle et d'IA générative. Cette rencontre sera l’occasion d'échanger avec nos experts sur les meilleures stratégies pour booster les performances de vos applications, et découvrir les témoignages de nos clients tels que France Travail, Scalian et Feels. Inscrivez-vous maintenant: https://lnkd.in/gwM6NMkv
Redis Connect France 2024 - Redis
https://redis.io
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⚡ We partnered with Google to create a reference architecture for building fast LLM applications using Redis' vector database and Google Cloud's Vertex AI with Google's new Gemini 1.5 Flash LLM. Gemini is a lightweight model built for speed and efficiency. Redis' vector database is fast and scalable, so your users get a more responsive, powerful experience. Together, they create a powerful architecture for building fast AI apps. Get started with a sample Colab notebook. https://lnkd.in/gvDrKb_8
GitHub - redis-developer/gcp-redis-llm-stack: Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.
github.com
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Redis has partnered with NVIDIA to help companies bring GenAI apps to production faster. We're using NVIDIA NIM to provide ready-made infrastructure for fast data access and AI models. NIM, part of the NVIDIA AI Enterprise software platform for GenAI development and deployment, can be combined with Redis for fast and flexible deployment. Read more about our partnership here and start building. https://lnkd.in/gzr62hY5
Deploy GenAI apps faster with Redis and NVIDIA NIM - Redis
redis.io
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🔍 Looking for a fast way to enhance app performance? We got you. Learn how our caching technology, built for both speed and simplicity, can help you scale effortlessly. Join our "Intro to Caching" demo to see Redis in action, get insights through a live Q&A, and walk away with actionable knowledge to implement caching effectively. Secure your spot today to learn how to enhance app performance – fast. https://lnkd.in/ggfxCGtQ
Intro to caching - Redis
https://redis.io
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Attention Azure devs: Redis now integrates with Kernel Memory, opening up endless possibilities for building faster AI apps with Semantic Kernel. Our new blog post shows you how this works and walks you through building an AI chat app with both technologies using our new integration. https://lnkd.in/gf2wsNQF
Building LLM Applications with Kernel Memory and Redis - Redis
redis.io
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🚨 Meet up with us in Austin. 🚨 Join Redis and Amazon Web Services for an in-person workshop on June 20. We'll do a deep dive into how Generative AI, Amazon Bedrock, and Redis Cloud can work together to power the data-intensive apps of tomorrow (and today). We'll walk through how to use Redis as a vector database alongside Amazon Bedrock, a managed service that offers foundational models for GenAI apps, and end with a lab so attendees can work with both. 📆 Date: Thursday, June 20 Time: 1:00 p.m. – 5:00 p.m. CT Don't miss out on this opportunity to learn more about building AI apps and network with industry professionals at our happy hour following the workshop. Register now to secure your spot. https://lnkd.in/gcMuthgJ
Powering Generative AI Apps With Redis Cloud & Amazon Bedrock- Redis
https://redis.io
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🚀 Discover how Redis caching makes apps faster and more scalable in this week's "Intro to Caching" demo. Join us to see how we make it easier to build lightning-fast apps and learn about practical use cases and best practices, while getting hands-on experience. Sign up now to start making your apps faster. https://lnkd.in/g5BedNBP
Intro to caching - Redis
https://redis.io
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Our own Guy Royse sat down with Zander Matheson, CEO and founder of Bytewax to talk stream processing and real-time machine learning. They discuss how Bytewax works, including its seamless integration with Kubernetes, its ability to scale effortlessly, and its focus on providing an exceptional dev experience. They also run through various use cases for Bytewax, including real-time fraud detection to edge computing. Watch the whole interview here: https://lnkd.in/eeUD_KWs
Bytewax + Redis | Real-time streaming for AI
https://www.youtube.com/