AWS offers the Amazon API Gateway supports the creation and publication of an API for web applications, as well as its monitoring and maintenance. The Amazon API Gateway is able to support thousands of API calls concurrently and provides traffic management, as well as monitoring and access control.
$0.90
Per Million
Google App Engine
Score 8.2 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
Amazon API Gateway
Google App Engine
Editions & Modules
Past 300 Million
$0.90
Per Million
First 300 Million
$1.00
Per Million
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Amazon API Gateway
Google App Engine
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon API Gateway
Google App Engine
Features
Amazon API Gateway
Google App Engine
API Management
Comparison of API Management features of Product A and Product B
Amazon API Gateway
9.1
14 Ratings
8% above category average
Google App Engine
-
Ratings
API access control
9.013 Ratings
00 Ratings
Rate limits and usage policies
10.013 Ratings
00 Ratings
API usage data
8.013 Ratings
00 Ratings
API user onboarding
8.013 Ratings
00 Ratings
API versioning
9.013 Ratings
00 Ratings
Usage billing and payments
10.012 Ratings
00 Ratings
API monitoring and logging
10.014 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Experienced a lack of available programming languages while working on a minor project. I had to halt the project and wait for it to be added later. It took ages and had a hit on our productivity. It has a centralized management system which helps and an easy interface which helps to manage multiple tasks in case of large-scale operations and projects.
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.
API Gateway integrates well with AWS Lambda. This allows us to build a web server in the language and framework of our choice, deploy it as a Lambda function, and expose it through API Gateway.
API Gateway manages API keys. Building rate limiting and request quota features are not trivial (or interesting).
API Gateway's pricing can be very attractive for services that are accessed infrequently.
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)
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.
It is a great product very reliable and stable for connecting various aws services like we connected with lambda function and it is working very well, never faced any issue after the setup. It also saves out lots of money as well as time after we implemented the automatic ec2 server recovery system
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
We always had a great experience with the AWS support team. They were always on time and very dependable. It was a good partnership while we worked to resolve our issues.
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.
When we tested Azure API Management at the time, it had serious connectivity issues, it was very unstable, and it needed to do a lot using the command line. Comparing with the AWS solution, which was more mature, and the fact that we have services in use on AWS, we ended up choosing to continue using AWS products. This so as not to run the risk of increasing latency in accesses, and of some functionality not working, due to being developed yet.
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.
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.