Amazon Elastic Container Service (Amazon ECS) vs. Google App Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Elastic Container Service (Amazon ECS)
Score 8.6 out of 10
N/A
Amazon Elastic Container Service (Amazon ECS) is a scalable, high performance container management service that supports Docker containers.
$0
per hour per GB
Google App Engine
Score 8.1 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
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Editions & Modules
AWS Fargate Launch Type Model
Spot price: $0.0013335. Ephemeral Storage Pricing: $0.000111
per hour per storage
Amazon EC2 Launch Type Model
Free
Amazon ECS on AWS Outposts
Free
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsThere is no additional charge for Amazon ECS. You pay for AWS resources (e.g., Amazon EC2 instances or Amazon EBS volumes) you create to store and run your application. You only pay for what you use, as you use it; there are no minimum fees and no upfront commitments.
More Pricing Information
Community Pulse
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Features
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Container Management
Comparison of Container Management features of Product A and Product B
Amazon Elastic Container Service (Amazon ECS)
8.1
6 Ratings
0% above category average
Google App Engine
-
Ratings
Security and Isolation9.06 Ratings00 Ratings
Container Orchestration8.55 Ratings00 Ratings
Cluster Management7.86 Ratings00 Ratings
Storage Management8.03 Ratings00 Ratings
Resource Allocation and Optimization7.35 Ratings00 Ratings
Discovery Tools7.34 Ratings00 Ratings
Update Rollouts and Rollbacks8.66 Ratings00 Ratings
Self-Healing and Recovery8.46 Ratings00 Ratings
Analytics, Monitoring, and Logging8.26 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Amazon Elastic Container Service (Amazon ECS)
-
Ratings
Google App Engine
9.5
32 Ratings
20% above category average
Ease of building user interfaces00 Ratings9.018 Ratings
Scalability00 Ratings10.032 Ratings
Platform management overhead00 Ratings9.032 Ratings
Workflow engine capability00 Ratings8.024 Ratings
Platform access control00 Ratings10.031 Ratings
Services-enabled integration00 Ratings10.028 Ratings
Development environment creation00 Ratings10.029 Ratings
Development environment replication00 Ratings10.028 Ratings
Issue monitoring and notification00 Ratings9.028 Ratings
Issue recovery00 Ratings9.026 Ratings
Upgrades and platform fixes00 Ratings10.029 Ratings
Best Alternatives
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Small Businesses
Portainer
Portainer
Score 9.1 out of 10
AWS Lambda
AWS Lambda
Score 8.3 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Likelihood to Recommend
8.6
(12 ratings)
8.0
(35 ratings)
Likelihood to Renew
-
(0 ratings)
8.3
(8 ratings)
Usability
8.0
(5 ratings)
7.7
(7 ratings)
Performance
-
(0 ratings)
10.0
(1 ratings)
Support Rating
8.4
(4 ratings)
8.4
(12 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Amazon Elastic Container Service (Amazon ECS)Google App Engine
Likelihood to Recommend
Amazon AWS
Amazon ECS is well suited for the scenarios where you want to deploy a microservice to a cloud and instead of manually specifying instance size, number of instances and then specifying the configurations and connecting it with other cloud services like database service, secret manager service etc., you just want to specify these configurations as a file and using that file, the ECS would deploy the service and keep it healthy. It might be less suited for a scenario when you don't want to stick to AWS specific solution for your microservice deployment. The ECS configuration file is specific to AWS ECS and may not be useful for other cloud providers like Azure etc.
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Google
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
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Pros
Amazon AWS
  • One of the biggest advantages is the flexibility to change underlying EC2 instances. As the traffic or demand increases, we can easily change EC2 instances without any issues.
  • Amazon ECS APIs are extremely robust and one can start and stop containers by firing one post request only. So, it is not mandatory to keep the demo solutions up for every time. Just at the time of demo fire the command - make the container up and running - do the demo - down the container with API. A simple portal can control every container which helps non-technical (sales, marketing) to do the demo without keeping the solutions up for the entire time frame.
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Google
  • Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
  • Flexible. We use Java for some services and Node.js for others.
  • Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.
Read full review
Cons
Amazon AWS
  • Another AWS Service - While AWS has a service for just about everything, that is also a negative point. There is no service that does 4 out of 4 things you need. This service does 3 out of 4, another service does the fourth thing you need and another two things that the other service does.
  • With AWS things in general, it's really hard to remain cloud agnostic. Keep that in mind.
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Google
  • There is a slight learning curve to getting used to code on Google App Engine.
  • Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
  • Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
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Likelihood to Renew
Amazon AWS
No answers on this topic
Google
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
Amazon AWS
Aside from some ECS-specific terms to learn at first, learning & starting to use ECS is relatively straightforward. AWS docs on the topic are also of high quality, with sound & relevant examples to follow. Troubleshooting container issues is also a breeze thanks to CloudWatch integration & helpful error messages on the AWS console.
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Google
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
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Support Rating
Amazon AWS
Support is relatively good, although the documentation sometimes is lacking, as well as outdated in our experience, especially when we initiated the process of using this service. But once we found how to assemble things, we haven't really required support from anyone at AWS, the service works without problems so we haven't had the need to contact support, which speaks well of how ECS is built.
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Google
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
Amazon AWS
I chose Amazon ECS over Amazon EKS and other products because the whole infrastructure was decided to be designed on AWS cloud and Amazon ECS made it easier to make the clusters live in just a few minutes. Amazon ECS has better integration with other AWS services and we don't have to look for plugins to do the things, everything is available and can be configured from the AWS console.
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Google
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
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Return on Investment
Amazon AWS
  • Easy to manage as it has an orchestrator to manage the containers.
  • Less costs and more flexibility with Fargate.
  • Negative (tied to AWS, so could not easily integrate other tools like running a Redis cluster. Still, it works but not easily like Kubernetes.
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Google
  • Effective employee adoption through ease of use.
  • Effective integration to other java based frameworks.
  • Time to market is very quick. Build, test, deploy and use.
  • The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
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ScreenShots