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Drive innovation at scale with a unified developer data platform

MongoDB Atlas is a multi-cloud data platform that offers a flexible document data model and unified query interface for building various applications. It supports power transactional processing, relevance-based search, in-app analytics, and provides a reliable, scalable, and secure data architecture.

Why MongoDB Atlas on Google Cloud?
With just a few clicks, you can set up, scale, and operate our fully-managed platform anywhere in the world, with the versatility, security, and high-availability you need. By choosing MongoDB Atlas on Google Cloud, you'll gain true multi-cloud capabilities, best-in-class automation, workload intelligence, and access to proven practices that make it the smartest choice for your team's needs.

55%-75%

of TCO savings

70%

increase in DevOps productivity

Up to 20%

better response

50%

reduction in efforts

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Here’s why our customers love us

  1. “It has unlocked massive potential in our architecture through agility in scaling and resource management, seamless multi‐region clusters, and premium monitoring as standard.”
    - Mohsin Patel, Principal Database Engineer, Auto Trader UK

    Learn how Auto Trader migrated in 3 steps with MongoDB Atlas on Google Cloud

  1. “It has allowed us to scale to zero, meaning we don’t have to worry about over or under provisioning. This is compelling from a cost perspective as it allows us to easily scale up when required for major events.”
    - Tane Oakes, Enterprise Architect, Ticketek

    Learn how Ticketek drives analytics with MongoDB Atlas on Google Cloud

  1. “We can now allocate more time to integrating AI and automation into Spoke by utilizing smarter database tools, allowing us to focus solely on enhancing the customer experience.”
    - Pratyus Patnaik, Chief Technology Officer, Spoke

    Learn how Spoke was able to build a smarter AI-powered helpdesk ticketing solution with MongoDB Atlas on Google Cloud

  1. “It is SOC2 compliant, which keeps our team highly efficient and focused on developing our software Rebus. The combination delivers what other cloud vendors couldn’t.”
    - Alex Wakefield, CEO, Longbow Advantage and Rebus Data Services

    Learn how Longbow Advantage achieved operational excellence with MongoDB Atlas on Google Cloud

  1. Learn how other customers are using MongoDB Atlas on Google Cloud Platform

It has unlocked massive potential in our architecture through agility in scaling and resource management, seamless multi‐region clusters, and premium monitoring as standard.

—Mohsin Patel, Principal Database Engineer, Auto Trader UK

Learn how Auto Trader migrated in 3 steps with MongoDB Atlas on Google Cloud


It has allowed us to scale to zero, meaning we don’t have to worry about over or under provisioning. This is compelling from a cost perspective as it allows us to easily scale up when required for major events.

—Tane Oakes, Enterprise Architect, Ticketek

Learn how Ticketek drives analytics with MongoDB Atlas on Google Cloud

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VIDEO

A Whirlwind Tour of MongoDB Atlas on Google Cloud

In this video, MongoDB Senior Developer Advocate Mark Smith will take you on a whirlwind tour of MongoDB. He will show you how to spin up a MongoDB Atlas cluster on Google Cloud and connect to it with code.


Learn how MongoDB can help your business

Shorten the distance between production data and insight

On this sponsored episode of The Stack Overflow podcast, listen to Stanimira Vlaeva, Developer Advocate at MongoDB, and Fredric Favelin, Technical Director, Partner Presales at MongoDB, about how a serverless database can minimize the distance between producing data and understanding it.

Explore Data Modernization and Its benefits with MongoDB and Google Cloud

Learn how you can leverage the benefits of a flexible, scalable and secure data platform to achieve faster time-to-market, reduce complexity, and improve agility. Find out how organizations like yours are benefitting from migrating to a modern data platform, and how you can get started today.

Making Financial Services Accessible and Affordable for All

Join CTO Trevor Marshall for a conversation about how the company is working with MongoDB and Google Cloud to translate that lofty goal into a decisive action that has the potential to stand the financial services industry on its head.

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Developer Advocate of Machine Learning,

Google Cloud

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Customer Engineer,

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Google Cloud

ALL DAY TRACKS

Day 1 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
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  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
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  • 1:00 PM–01:20 PM
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  • 1:20 PM–01:40 PM
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  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Day 2 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
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  • 11:40 AM–12:40 PM
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  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
    Happy hour

Day 3 Agenda

  • 8:30 AM–09:30 AM
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
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  • 11:40 AM–12:40 PM
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  • 1:40 PM–02:40 PM
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  • 2:40 PM–03:40 PM
    Happy hour
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Agenda

8:30 AM–09:30 AM
Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
  • 10:00 AM–10:40 AM
    Fast analytics at scale with Google BigQuery
    Speaker: Name, Title, Organization
  • 10:40 AM–11:00 AM
    Break
  • 11:00 AM–11:20 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:20 AM–11:40 AM
    Session Title
    Speaker: Name, Title, Organization
  • 11:40 AM–12:40 PM
    Lunch
  • 12:40 PM–01:00 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:00 PM–01:20 PM
    Session Title
    Speaker: Name, Title, Organization
  • 1:20 PM–01:40 PM
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  • 1:40 PM–02:40 PM
    Closing keynote: Lorem ipsum dolor sit
    Speaker: Name, Title, Organization
  • 2:40 PM–03:40 PM
    Happy hour

Track 1

Track 2

Track 3

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

Agenda

Track 1

Track 2

  • 8:30 AM–09:30 AM
    Registrations
    Registrations
  • 9:30 AM–09:40 AM
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
    Opening Keynote: Lorem ipsum dolor sit
    Firstname Lastname, Position, Company XYZ
  • 9:40 AM–10:00 AM
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ
    Pushing the limits of BigQuery with Kabam
    Firstname Lastname, Position, Company XYZ

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VIDEO

A Whirlwind Tour of MongoDB Atlas on Google Cloud

Join Mark Smith, MongoDB's Senior Developer Advocate, in this video to explore the exceptional advantages of MongoDB Atlas. Learn how to create a MongoDB Atlas cluster on Google Cloud, connect to it with code, and get an in-depth understanding of how documents compare to traditional databases. Plus, discover the exclusive features that come with a MongoDB Atlas subscription.

VIDEO

A Whirlwind Tour of MongoDB Atlas on Google Cloud

In this video, MongoDB Senior Developer Advocate Mark Smith will take you on a whirlwind tour of MongoDB. He will show you how to spin up a MongoDB Atlas cluster on Google Cloud and connect to it with code.

Book a free consultation with MongoDB

Limited-time offer
Enjoy $100 off your next transaction on MongoDB Atlas when you book a meeting with MongoDB today! T&Cs apply.



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