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Atlas

26
100
+ 1
0
MongoDB Stitch

128
226
+ 1
4
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Atlas vs MongoDB Stitch: What are the differences?

Atlas: Develop, deploy, and maintain your application anywhere. Use one console and one workflow from development to production. Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services; MongoDB Stitch: Backend as a Service for web and mobile applications. MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

Atlas and MongoDB Stitch are primarily classified as "Infrastructure Build" and "Platform as a Service" tools respectively.

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Pros of Atlas
Pros of MongoDB Stitch
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      Static Hosting
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      Serverless
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      Best integration with MongoDB (Atlas)

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    What is Atlas?

    Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

    What is MongoDB Stitch?

    MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Atlas?
    What companies use MongoDB Stitch?
    See which teams inside your own company are using Atlas or MongoDB Stitch.
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    What tools integrate with Atlas?
    What tools integrate with MongoDB Stitch?
      No integrations found

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      What are some alternatives to Atlas and MongoDB Stitch?
      Terraform
      With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
      AWS CloudFormation
      You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.
      Packer
      Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.
      Pulumi
      Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.
      AWS Cloud Development Kit
      It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.
      See all alternatives