MongoDB Atlas on
Google Cloud
Build stateful, production-ready agentic applications on Google Cloud. Ground autonomous agents in real-time enterprise data with MongoDB Atlas.
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Purpose-built for stateful agentic AI
Ground AI agents and applications in real-time context without database complexity. Gemini provides the reasoning, while MongoDB Atlas delivers persistent operational memory. Unifying operational data, vector search, and session state on one platform eliminates custom ETL, reduces TCO, and accelerates production.
Integrations
Agentic AI orchestration
Big Query
Firebase
Datastream
Google Kubernetes Engine (GKE)
Additional integrations
Chief Technology Officer, Forbes
Chief Technology Officer, Forbes
Senior Director of Enterprise Architecture, Integration & Automation Technologies, ATD
IT Architect, Ulta Beauty
FAQs
MongoDB Atlas is available in the Google Cloud Marketplace. With just one click, you can get started today with our Pay-As-You-Go option.
Atlas and Google Cloud unite the two halves of enterprise AI: operational data and AI reasoning.
By pairing Atlas as the persistent operational memory layer with Google Cloud’s Gemini Enterprise and BigQuery, engineering teams can deploy stateful, grounded AI applications at scale without managing complex infrastructure.
Deploying via Google Cloud Marketplace optimizes both technical velocity and IT spend. You get a single consolidated invoice, zero-setup deployment, and 100% of eligible Atlas consumption burns down your Google Cloud commitment, just like a native Google Cloud service.
Through deep integrations with key Google Cloud services like BigQuery and Gemini Enterprise, a fully managed platform offering 150+ foundation models, you can confidently deploy intelligent, data-driven applications.
To deploy MongoDB on Google Cloud, you can set up a new cluster on MongoDB Atlas, or live-migrate an existing MongoDB deployment using the Atlas Live Migration Service.
Once you have deployed your MongoDB cluster on Google Cloud, either by using MongoDB Atlas or creating a self-managed cluster, use the cluster’s connection string to access either from the command line or through a MongoDB driver in your language of choice.
MongoDB Atlas has a free tier that’s ideal for trying out the service and getting comfortable using it. If you’re using our fully-managed platform, you’re only billed for what you use. If you’re managing your own cluster, your Google Cloud pricing for the resources it uses will apply.
MongoDB Atlas is a fully managed intelligent data platform that serves as the persistent operational memory and context layer for enterprise applications. By unifying transactional database workloads, full-text search, and vector search on a flexible document model, Atlas integrates seamlessly with Google Cloud services like Gemini Enterprise and BigQuery. It eliminates database fragmentation and infrastructure overhead, enabling engineering teams to build, scale, and deploy stateful, production-ready AI applications.