Stop testing, start deploying your AI apps. See how with MIT Technology Review’s latest research.
Download now
Power Google Cloud apps with our modern cache technology and access to Google’s 40 data centers across the world for the highest possible speed and reliability.
Spend less time on setup and more time innovating. Get up and running in just a few clicks to power even the most demanding apps and ensure your team spends less time provisioning and more time building.
Skip the headache of troubleshooting between two platforms. Get expert help from the teams that know exactly how these products should work together.
Your company already uses Google Cloud. Now use Redis in more places to make more apps fast and spend from your committed contracts. We make it easy to go fast.
Start with Redis on Google Cloud today.
Redis Cloud 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 Google Cloud services. The seamless integration allows you to leverage Redis Cloud’s capabilities for real-time data processing and caching together with the rest of Google Cloud’s infrastructure.
Google Memorystore is designed by Google Cloud engineers for caching and in-memory data storage. Redis Cloud on Google 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 Google 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 Google Cloud 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 Google Cloud by providing fast semantic caching, vector database, and LLM memory to power retrieval augmented generation (RAG), chatbots, virtual assistants, and more to bringing 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.
