Azure App Service vs. Google App Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure App Service
Score 8.8 out of 10
N/A
The Microsoft Azure App Service is a PaaS that enables users to build, deploy, and scale web apps and APIs, a fully managed service with built-in infrastructure maintenance, security patching, and scaling. Includes Azure Web Apps, Azure Mobile Apps, Azure API Apps, allowing developers to use popular frameworks including .NET, .NET Core, Java, Node.js, Python, PHP, and Ruby.
$9.49
per month
Google App Engine
Score 9.2 out of 10
N/A
Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Pricing
Azure App ServiceGoogle App Engine
Editions & Modules
Shared Environment for dev/test
$9.49
per month
Basic Dedicated environment for dev/test
$54.75
per month
Standard Run production workloads
$73
per month
Premium Enhanced performance and scale
$146
per month
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Azure App ServiceGoogle App Engine
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFree and Shared (preview) plans are ideal for testing applications in a managed Azure environment. Basic, Standard and Premium plans are for production workloads and run on dedicated Virtual Machine instances. Each instance can support multiple applications and domains.
More Pricing Information
Community Pulse
Azure App ServiceGoogle App Engine
Features
Azure App ServiceGoogle App Engine
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Azure App Service
8.0
Ratings
0% above category average
Google App Engine
8.7
Ratings
9% above category average
Ease of building user interfaces10.00 Ratings9.00 Ratings
Scalability10.00 Ratings9.00 Ratings
Platform management overhead4.10 Ratings9.00 Ratings
Workflow engine capability5.00 Ratings9.00 Ratings
Platform access control10.00 Ratings9.00 Ratings
Services-enabled integration10.00 Ratings8.00 Ratings
Development environment creation10.00 Ratings9.00 Ratings
Development environment replication10.00 Ratings8.00 Ratings
Issue monitoring and notification8.00 Ratings9.00 Ratings
Issue recovery6.00 Ratings9.00 Ratings
Upgrades and platform fixes5.10 Ratings8.00 Ratings
Best Alternatives
Azure App ServiceGoogle App Engine
Small Businesses
AWS Lambda
AWS Lambda
Score 8.6 out of 10
AWS Lambda
AWS Lambda
Score 8.6 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure App ServiceGoogle App Engine
Likelihood to Recommend
7.9
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.3
(0 ratings)
Usability
-
(0 ratings)
7.7
(0 ratings)
Performance
-
(0 ratings)
10.0
(0 ratings)
Support Rating
10.0
(0 ratings)
8.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Azure App ServiceGoogle App Engine
Likelihood to Recommend
Azure App Service is well suited in our case :
  • Our website is developed by our tech partner in a full Microsoft Azure cloud based environment.
  • We gave them specific access rights and the CI / CD integration helped a lot for updates and improvements deployment.
  • Most of the infra issues we had with our website weren't coming from App Service
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Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.
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Pros
  • Super quick & easy to deploy new apps in visual studio
  • Easy scaling to help reduce costs during off-hours
  • The powerful Azure ecosystem offers a lot of functionality that ties in well with Azure App Service
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  • Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
  • Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
  • Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.
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Cons
  • Abstraction of computing resources like Heroku does with dynos.
  • Azure Portal overall is pretty bloated and that affects managing Azure App Service applications.
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  • For beginners, there is a learning curve that can be reduced by decluttering the functionalities.
  • For much big migrations it takes to a lot of time to deploy which can be reduced.
  • The scaling of applications based on the user count is not seamless and it requires improvement.
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Likelihood to Renew
No answers on this topic
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
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Usability
I enjoy the fact that Azure App Service can be managed by the Azure portal and a fully graphical user interface, as well as from two different flavors of command-line interface, i.e. Azure CLI and Azure Powershell. By utilizing the Azure Cloud Shell, we are able to switch between Azure Bash (CLI) and Powershell at any given moment and manage the Azure App Service settings from devices of any form-factor (Web based management).
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Google App Engine is very intuitive. It has the common programming language most would use. Google is a dependable name and I have not had issues with their servers being down....ever. You can safely use their service and store your data on their servers without worrying about downtime or loss of data.
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Support Rating
We had an issue where we deployed too large of a resource and didn't notice until the bill came through. They were very understanding and saw we weren't utilizing the resources so they issued a generous refund in about 4 hours. Very fast, friendly, and understanding support reps from my experience.
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Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
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Alternatives Considered
In terms of deploying your apps, Azure App Service provides a solid foundation. You may use either the Azure command-line interface or the Web Portal to administer these apps. As a whole, I find You may easily deploy your apps to Azure App Service to be a really difficult platform for novices to get their feet wet. First and foremost, I'd look at Heroku's user interface and the way it abstracts compute units.
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App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.
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Return on Investment
  • Download time is reduced because of auto scaling feature.
  • Insight tool helps in finding issues quickly.
  • CI/CD has helped in automation.
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  • App Engine can scale basically infinitely so our users can always expect fast responsiveness.
  • App Engine has saved us money by only using the resources we need when we need them.
  • The security and IAM policies surrounding App Engine have saved a lot of head aches.
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