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  4. Platform As A Service
  5. AWS CloudFormation vs Google App Engine

AWS CloudFormation vs Google App Engine

OverviewDecisionsComparisonAlternatives

Overview

Google App Engine
Google App Engine
Stacks10.5K
Followers8.1K
Votes611
AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88

AWS CloudFormation vs Google App Engine: What are the differences?

# Introduction
This Markdown code provides a comparison between AWS CloudFormation and Google App Engine in terms of key differences.

1. **Deployment Model**: AWS CloudFormation is an infrastructure as code service that allows users to define and provision AWS infrastructure using templates, while Google App Engine is a platform as a service (PaaS) that abstracts away infrastructure management and allows developers to focus on application code without worrying about scaling or server management.
2. **Vendor Lock-in**: AWS CloudFormation ties users to the AWS ecosystem as it is specifically designed for AWS services, making it challenging to move to other cloud providers. On the other hand, Google App Engine abstracts away the underlying infrastructure, making it easier for developers to migrate their applications to other cloud platforms. 
3. **Flexibility**: AWS CloudFormation offers more flexibility and control over infrastructure provisioning and configuration compared to Google App Engine, which provides a more opinionated approach to application deployment. 
4. **Pricing**: Google App Engine provides a pay-as-you-go pricing model based on resource consumption, while AWS CloudFormation pricing is based on the resources provisioned and managed. This difference in pricing models can influence cost optimization strategies for users.
5. **Integration**: AWS CloudFormation integrates seamlessly with other AWS services and tools, providing a comprehensive ecosystem for infrastructure automation and management. In contrast, Google App Engine focuses primarily on integrating with Google Cloud Platform services, limiting the scope of integration options for users.
6. **Service Level Agreements (SLAs)**: Google App Engine offers SLAs for uptime and performance guarantees, backed by Google's robust infrastructure, whereas AWS CloudFormation does not provide SLAs as it is a tool for infrastructure automation rather than a service for running applications.

In Summary, AWS CloudFormation and Google App Engine differ in their deployment models, vendor lock-in, flexibility, pricing, integration options, and SLAs. These differences can impact the choice of platform for developers and organizations based on their specific requirements and preferences. 

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Advice on Google App Engine, AWS CloudFormation

Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments
Daniel
Daniel

May 4, 2020

Decided

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

426k views426k
Comments
Sergey
Sergey

Contractor at Adaptive

Apr 17, 2020

Decided

Overview

We use Terraform to manage AWS cloud environment for the project. It is pretty complex, largely static, security-focused, and constantly evolving.

Terraform provides descriptive (declarative) way of defining the target configuration, where it can work out the dependencies between configuration elements and apply differences without re-provisioning the entire cloud stack.

Advantages

Terraform is vendor-neutral in a way that it is using a common configuration language (HCL) with plugins (providers) for multiple cloud and service providers.

Terraform keeps track of the previous state of the deployment and applies incremental changes, resulting in faster deployment times.

Terraform allows us to share reusable modules between projects. We have built an impressive library of modules internally, which makes it very easy to assemble a new project from pre-fabricated building blocks.

Disadvantages

Software is imperfect, and Terraform is no exception. Occasionally we hit annoying bugs that we have to work around. The interaction with any underlying APIs is encapsulated inside 3rd party Terraform providers, and any bug fixes or new features require a provider release. Some providers have very poor coverage of the underlying APIs.

Terraform is not great for managing highly dynamic parts of cloud environments. That part is better delegated to other tools or scripts.

Terraform state may go out of sync with the target environment or with the source configuration, which often results in painful reconciliation.

426k views426k
Comments

Detailed Comparison

Google App Engine
Google App Engine
AWS CloudFormation
AWS CloudFormation

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.

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.

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.
AWS CloudFormation comes with the following ready-to-run sample templates: WordPress (blog),Tracks (project tracking), Gollum (wiki used by GitHub), Drupal (content management), Joomla (content management), Insoshi (social apps), Redmine (project mgmt);No Need to Reinvent the Wheel – A template can be used repeatedly to create identical copies of the same stack (or to use as a foundation to start a new stack);Transparent and Open – Templates are simple JSON formatted text files that can be placed under your normal source control mechanisms, stored in private or public locations such as Amazon S3 and exchanged via email.;Declarative and Flexible – To create the infrastructure you want, you enumerate what AWS resources, configuration values and interconnections you need in a template and then let AWS CloudFormation do the rest with a few simple clicks in the AWS Management Console, via the command line tools or by calling the APIs.
Statistics
Stacks
10.5K
Stacks
1.6K
Followers
8.1K
Followers
1.3K
Votes
611
Votes
88
Pros & Cons
Pros
  • 145
    Easy to deploy
  • 106
    Auto scaling
  • 80
    Good free plan
  • 62
    Easy management
  • 56
    Scalability
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Infrastructure as code
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Integrations
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Twilio
Twilio
Twilio SendGrid
Twilio SendGrid
No integrations available

What are some alternatives to Google App Engine, AWS CloudFormation?

Heroku

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.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

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.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

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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