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Google App Engine

10.1K
7.9K
+ 1
611
MongoDB Stitch

133
231
+ 1
4
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Google App Engine vs MongoDB Stitch: What are the differences?

Developers describe Google App Engine as "Build web applications on the same scalable systems that power Google applications". Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow. On the other hand, MongoDB Stitch is detailed as "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.

Google App Engine and MongoDB Stitch belong to "Platform as a Service" category of the tech stack.

Some of the features offered by Google App Engine are:

  • Zero to sixty: Scale your app automatically without worrying about managing machines.
  • Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.
  • You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.

On the other hand, MongoDB Stitch provides the following key features:

  • REST API to MongoDB Atlas
  • Declarative data access controls
  • Service integrations (AWS S3, Twilio...)
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Pros of Google App Engine
Pros of MongoDB Stitch
  • 145
    Easy to deploy
  • 106
    Auto scaling
  • 80
    Good free plan
  • 62
    Easy management
  • 56
    Scalability
  • 35
    Low cost
  • 32
    Comprehensive set of features
  • 28
    All services in one place
  • 22
    Simple scaling
  • 19
    Quick and reliable cloud servers
  • 6
    Granular Billing
  • 5
    Easy to develop and unit test
  • 5
    Monitoring gives comprehensive set of key indicators
  • 3
    Really easy to quickly bring up a full stack
  • 3
    Create APIs quickly with cloud endpoints
  • 2
    No Ops
  • 2
    Mostly up
  • 2
    Static Hosting
  • 1
    Serverless
  • 1
    Best integration with MongoDB (Atlas)

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What is Google App Engine?

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

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.

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What companies use Google App Engine?
What companies use MongoDB Stitch?
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What tools integrate with Google App Engine?
What tools integrate with MongoDB Stitch?

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What are some alternatives to Google App Engine and MongoDB Stitch?
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
See all alternatives