Google App Engine vs Heroku

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Google App Engine

9.2K
7.3K
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609
Heroku

24K
19.3K
+ 1
3.2K
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Google App Engine vs Heroku: 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, Heroku is detailed as "Build, deliver, monitor and scale web apps and APIs with a trail blazing developer experience". 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.

Google App Engine and Heroku can be primarily classified as "Platform as a Service" tools.

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, Heroku provides the following key features:

  • Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.
  • Run and scale any type of app.
  • Total visibility across your entire app.

"Easy to deploy", "Auto scaling" and "Good free plan" are the key factors why developers consider Google App Engine; whereas "Easy deployment", "Free for side projects" and "Huge time-saver" are the primary reasons why Heroku is favored.

According to the StackShare community, Heroku has a broader approval, being mentioned in 1496 company stacks & 937 developers stacks; compared to Google App Engine, which is listed in 473 company stacks and 329 developer stacks.

Decisions about Google App Engine and Heroku
Ben Diamond
Web Designer & Developer at Self-employed · | 6 upvotes · 12.6K views

As I was running through freeCodeCamp's curriculum, I was becoming frustrated by Replit's black box nature as a shared server solution for Node app testing. I wanted to move into a proper workflow with Git and a dedicated deployment solution just for educational or non-commercial purposes. Heroku solved that for me in spades.

Not only does Heroku support free app deployment if you don't use their extra service handlers, but you can directly hook into your GitHub repos and automatically update the app whenever you commit to the main branch. It's a simple way to get an app running as fast as possible if you wish to share a proof of concept or prototype before moving to dedicated servers.

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The Friendliest.app started on Heroku (both app and db) like most of my projects. The db on Heroku was on the cusp of becoming prohibitively expensive for this project.

After looking at options and reading recommendations we settled on Render to host both the application and db. Render's pricing model seems to scale more linearly with the application instead of the large pricing/performance jumps experienced with Heroku.

Migration to Render was extremely easy and we were able to complete both the db and application moves within 24 hours.

The only thing we're really missing on Render is a CLI. With Heroku, we could manage everything from the command line in VSCode. With Render, you need to use the web shell they provide.

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I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!

Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.

Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.

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Pros of Google App Engine
Pros of Heroku
  • 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
  • 705
    Easy deployment
  • 459
    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
  • 153
    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
    Simple rollback
  • 19
    Focus on product, not deployment
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    Painless & well documented
  • 6
    No-ops
  • 4
    I love that they make it free to launch a side project
  • 4
    Free
  • 3
    Great UI
  • 3
    Just works
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Security
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec

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Cons of Google App Engine
Cons of Heroku
    Be the first to leave a con
    • 26
      Super expensive
    • 8
      Not a whole lot of flexibility
    • 6
      Storage
    • 6
      No usable MySQL option
    • 4
      Low performance on free tier
    • 1
      24/7 support is $1,000 per month

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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 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.

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

    Jobs that mention Google App Engine and Heroku as a desired skillset
    CBRE
    United States of America New York New York City
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    CBRE
    United Kingdom of Great Britain and Northern Ireland England London
    What companies use Google App Engine?
    What companies use Heroku?
    See which teams inside your own company are using Google App Engine or Heroku.
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    Sign up to get full access to all the companiesMake informed product decisions

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

    Sign up to get full access to all the tool integrationsMake informed product decisions

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    What are some alternatives to Google App Engine and Heroku?
    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