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Google App Engine

8.2K
6.3K
+ 1
609
PythonAnywhere

88
265
+ 1
61
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Google App Engine vs PythonAnywhere: What are the differences?

What is Google App Engine? 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.

What is PythonAnywhere? Micro PaaS for Python web apps. Develop and host Python from your browser. It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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

"Easy to deploy" is the primary reason why developers consider Google App Engine over the competitors, whereas "Web apps" was stated as the key factor in picking PythonAnywhere.

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Pros of Google App Engine
Pros of PythonAnywhere
  • 144
    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
  • 4
    Monitoring gives comprehensive set of key indicators
  • 3
    Create APIs quickly with cloud endpoints
  • 3
    Really easy to quickly bring up a full stack
  • 2
    No Ops
  • 2
    Mostly up
  • 13
    Web apps
  • 10
    Easy Setup
  • 8
    Great support
  • 8
    Free plan
  • 8
    Shell access
  • 7
    Super-easy to use
  • 5
    Libraries
  • 2
    Many things like Python are pre-installed

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Cons of Google App Engine
Cons of PythonAnywhere
  • 1
    It's a Google product - they don't like your political
  • 1
    No root access
  • 1
    Really small community

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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 PythonAnywhere?

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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What companies use Google App Engine?
What companies use PythonAnywhere?
See which teams inside your own company are using Google App Engine or PythonAnywhere.
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What tools integrate with Google App Engine?
What tools integrate with PythonAnywhere?

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What are some alternatives to Google App Engine and PythonAnywhere?
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.
Amazon Web Services
It provides on-demand cloud computing platforms to individuals, companies and governments. It offers reliable, scalable, and inexpensive cloud computing services.
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.
See all alternatives