Google App Engine vs Heroku vs PythonAnywhere

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Google App Engine

7.4K
5.7K
+ 1
612
Heroku

20.1K
15.6K
+ 1
3.2K
PythonAnywhere

80
251
+ 1
53
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Pros of Google App Engine
Pros of Heroku
Pros of PythonAnywhere
  • 144
    Easy to deploy
  • 108
    Auto scaling
  • 80
    Good free plan
  • 64
    Easy management
  • 58
    Scalability
  • 35
    Low cost
  • 33
    Comprehensive set of features
  • 29
    All services in one place
  • 23
    Simple scaling
  • 20
    Quick and reliable cloud servers
  • 5
    Granular Billing
  • 4
    Easy to develop and unit test
  • 3
    Monitoring gives comprehensive set of key indicators
  • 2
    Create APIs quickly with cloud endpoints
  • 2
    Really easy to quickly bring up a full stack
  • 1
    Mostly up
  • 1
    No Ops
  • 704
    Easy deployment
  • 460
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
  • 190
    Easy setup
  • 174
    Add-ons for almost everything
  • 154
    Beginner friendly
  • 150
    Better for startups
  • 133
    Low learning curve
  • 48
    Postgres hosting
  • 41
    Easy to add collaborators
  • 30
    Faster development
  • 24
    Awesome documentation
  • 19
    Focus on product, not deployment
  • 19
    Simple rollback
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    No-ops
  • 6
    Painless & well documented
  • 4
    Free
  • 4
    I love that they make it free to launch a side project
  • 3
    Just works
  • 3
    Great UI
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec
  • 0
    Security
  • 11
    Web apps
  • 10
    Easy Setup
  • 7
    Great support
  • 7
    Shell access
  • 7
    Super-easy to use
  • 6
    Free plan
  • 5
    Libraries
  • 0
    Many things like Python are pre-installed

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Cons of Google App Engine
Cons of Heroku
Cons of PythonAnywhere
    Be the first to leave a con
    • 23
      Super expensive
    • 6
      Not a whole lot of flexibility
    • 5
      No usable MySQL option
    • 5
      Storage
    • 4
      Low performance on free tier
    • 1
      24/7 support is $1,000 per month
    • 1
      No root access
    • 1
      Really small community

    Sign up to add or upvote consMake informed product decisions

    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 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.

    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 Heroku?
    What companies use PythonAnywhere?

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    What tools integrate with Google App Engine?
    What tools integrate with Heroku?
    What tools integrate with PythonAnywhere?

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    Blog Posts

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    What are some alternatives to Google App Engine, Heroku, and PythonAnywhere?
    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.
    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