Build sophisticated,
intelligent applications
with MongoDB Atlas
and Google Cloud

Get started on Google Cloud Marketplace
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Start building the next generation of Generative AI apps today

Available in 37+ Google Cloud regions, the convenience of the pay-as-you-go Atlas listing on the Google Cloud Marketplace means you pay for only the resources you use, with no upfront commitment required. Leverage a unified developer data platform to accelerate and simplify how you build with data.

Get Started
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Elevate your development journey

with GenAI-powered apps

 

Confidently build generative AI experiences with MongoDB and Google Cloud. MongoDB Atlas is integrated with Google Cloud services such as Vertex AI and BigQuery to accelerate application deployment and keep you at the forefront of AI innovation.

 

Built by developers, for developers

 

MongoDB Atlas is an operational and vector database in one, unifying vector embeddings with live application data in a single, fully managed, developer data platform. Through its extensive programming language support and easy-to-use services such as Charts, Device Sync, and a core NoSQL database, MongoDB Atlas helps you build and run modern applications backed by generative AI.

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Get more out of your data
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Build and ship faster

 

Supercharge your application delivery with the

flexibility and scalability of MongoDB Atlas and the

robust infrastructure of Google Cloud.
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Reduce complexity

 

Gain a unified platform for storing, managing,

and scaling your data to focus on building

intelligent applications.

 
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Extend with integrations

 

Combine the benefits of MongoDB Atlas and

multiple Google Cloud services to accelerate

data-driven innovation.
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Secure by default

 

Leverage built-in and pre-configured security features

that comply with the most demanding standards.

Google Cloud Integrations

 

MongoDB and Google Cloud bring together powerful technologies to help you harness the full potential of generative AI. Easily meet the demands of a rapidly evolving digital landscape with key integrations, including:

Simplify how you train, augment, and deploy foundation models in a scalable generative AI development ecosystem.

 

Seamlessly move data between MongoDB and BigQuery to turn our enterprise information into insights.

  • Hear directly from our customers

    "With Atlas Vector Search we can compose sophisticated queries that quickly filter across product data, customer preferences, and vector embeddings to precisely identify hyper-relevant product recommendations in real time."

     

    Mundher Al-Shabi

     

    Senior Data Scientist, Delivery Hero

     

    Read the Case Study →
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  • Hear directly from our customers

    “With MongoDB Atlas and Google Cloud, we get fast queries and fast vector search in the same database call. This makes the user experience fast, regardless of query complexity. We have a lot of dashboards so fast responses are critical.”

     

    Gabriel Paunescu

     

    Co-founder and CTO, Naologic

     

     

    Watch More Here →
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  • Hear directly from our customers

    “MongoDB and Google Cloud enrich operational data and create a better customer experience. They’re a great example of complementary technologies working better together to support our business.”

     

    Jeffery Stovall

     

    Manager of Software Engineering, Zebra Technologies

     

    Read the Case Study →
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  • Hear directly from our customers

    “We recently had an unplanned traffic surge that impacted our domain services. It took less than an hour for MongoDB Atlas to scale up to the next level of the cluster and manage that traffic. The on-demand, dynamic scaling, plus GKE, has saved the day more than once.”

     

    Sethu Madhav Vure

     

    IT Architect, Ulta Beauty

     

    Read the Full Story Here →
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