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Take your AWS apps to new levels by running data and search queries directly on your data in real time, reaching sub-millisecond latency and 99.999% availability for global users, and keeping apps online with built-in data persistence and durability.
Run the most advanced data and search queries to deliver relevant data fast for your apps.
Our unified data model supports a wide array of data types—including key-value, document, vector, geospatial, time series, probabilistic, and more—to give you more flexibility over how teams store and create data—fast.
Our ecosystem offers official open source client libraries for major programming languages, Redis Insight for data visualization, docs, tutorials, and more.
Save on infrastructure costs by combining multiple Redis databases in a multi-tenant architecture that efficiently uses compute resources at scale.
Streamline time spent managing Redis and instead focus on building exceptional experiences.
Avoid unnecessary maintenance windows by adjusting usage at any time while we handle all background infrastructure operations.
We offer availability and persistence options that deliver up to 99.999% uptime for global apps through multi-site Active-Active geo-distribution.
When you run Redis Cloud on AWS, you’ll get a single AWS bill with Redis Cloud as a line item, and any spend will count toward your AWS commit.
Bring next-generation GenAI apps to production faster with data strategies that improve efficiency, reduce LLM costs, and enhance scalability and performance.
We support retrieval augmented generation (RAG), semantic caching, and LLM memory to enhance chatbots, and our Amazon Bedrock integration makes building and deploying apps a snap.
We’re a recognized AWS Data and Analytics Competency Partner for our success helping customers collect, store, govern, and analyze data at any scale.
Our specialized expertise means we can help any organization adopt, develop, and deploy complex projects.
“Reliability is very crucial for us! We maintain data on billions of devices and thousands of advertisers. Redis Cloud reduces the overhead required to deploy a database at scale and enables us to achieve stability within a short period of time.” 
Surya Dharma
Director of Engineering, Liftoff
“We now only use 30% of the DRAM storage we previously used, with no sacrifice in latency. That equates to hundreds of thousands of dollars in infrastructure savings each year.”
Varun Kumar
Senior Vice President of Engineering, Ekata
“We have a small team, so we don’t want to get bogged down with infrastructure management. Redis Cloud really helps us with this. It saves us a lot of money on infrastructure.”
Daniel Galinkin
Head of Machine Learning Engineering, iFood
“With native Database-as-a-Service that runs in our AWS cloud, Redis Cloud offers the best of all worlds.”
Naren Janakiraman
Director of Engineering, Freshworks
Sign up for Redis Cloud with AWS Marketplace
You can use AWS Marketplace to subscribe to Redis Cloud through AWS Marketplace. This lets you provision according to your needs and pay using your AWS account.
Meet with a Redis expert to learn more about how we support AWS.
Redis Cloud on AWS provides enhanced high availability, scalability, and advanced features like Redis Query Engine, multi-site Active-Active for the highest uptime of 99.999%, and robust data persistence to ensure optimal performance and reliability for mission-critical apps.
Redis Cloud seamlessly integrates with various AWS services, including AWS Transit Gateway, EC2 instances, and AWS Lambda. The seamless integration allows you to leverage Redis Cloud’s capabilities for real-time data processing and caching together with the rest of AWS’s infrastructure.
Amazon ElastiCache is designed by AWS engineers for caching and in-memory data storage. Redis Cloud on AWS is from the creators of Redis, runs on the newest release of Redis, is fully supported by the greater Redis ecosystem, and will provide access to future Redis innovations
Redis Cloud on AWS is used for a variety of apps, including real-time analytics, caching, session management, leaderboards, and as a semantic cache and vector database for GenAI workloads.
Redis improves the performance of AI and data science workloads on AWS by providing fast, in-memory data storage and processing. This reduces latency and accelerates the execution of complex algorithms and data retrieval operations.
Redis supports GenAI apps on AWS by providing fast semantic caching, vector database, and LLM memory to power retrieval augmented generation (RAG), chatbots, virtual assistants, and more to bring AI to production faster.
Redis Cloud provides robust security features such as encryption at rest and in transit, along with certification and compliance with standards like GDPR and HIPAA.
