MongoDB Atlas on
Google Cloud
Set up, scale, and operate MongoDB Atlas on Google Cloud anywhere in the world with the versatility, security, and high availability you need.
Generative AI With MongoDB and Google Cloud
Use MongoDB and Google Cloud to build gen AI experiences backed by your enterprise data. Deep integration between MongoDB Atlas and Google Cloud services like Vertex AI makes it easy to create intelligent applications that are accurate, secure, and scalable.
Integrations
AI/ML
BigQuery
Datastream
Google Kubernetes Engine (GKE)
Looker
Apigee
Additional integrations
Chief Technology Officer, Forbes
Chief Technology Officer, Forbes
Senior Director of Enterprise Architecture, Integration & Automation Technologies, ATD
IT Architect, Ulta Beauty
FAQ
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.
MongoDB Atlas is deeply integrated with key Google Cloud tools and services like BigQuery and Vertex AI.
For generative AI MongoDB Atlas and Google Cloud bring together the two halves of the generative AI equation—data and AI—to help organizations pursue the full potential of generative AI for their applications and software.
MongoDB Atlas’s flexible document data model reduces ETL complexity and provides a single location to store, sync, and access the multimodal data needed for AI and retrieval-augmented generation (RAG), including application data, metadata, and vector embeddings. Google Vertex AI is a fully managed AI/ML platform that offers 150+ LLMs and tools for building and using generative AI.
The integration of MongoDB Atlas and Google Vertex AI enables you to confidently deploy generative AI applications, including AI agents, and overcome the barriers that hold many of your competitors back.
“We're very glad we moved to the cloud when we did. Shifting quickly to Google Cloud and MongoDB Atlas put us in a position to innovate and thrive even in the most difficult circumstances.” - Vadim Supitskiy, Chief Technology Officer, Forbes.
MongoDB Atlas on Google Cloud reduces operational complexity, allowing developers to stay nimble and focus on innovation rather than infrastructure.
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 get 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 the fully-managed document database service in the cloud, brought to you by the core team at MongoDB. Atlas helps organizations drive innovation at scale by providing a unified way to work with data that addresses operational, search, and analytical workloads across multiple application architectures, all while automatically handling the movement and integration of data for its users.