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
Gemini
Google App Engine
Editions & Modules
Gemini Express
$10.00
Per User Per Month
Gemini Enterprise
$850.00
Per 10 Users Per Month
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Gemini
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
Gemini
Google App Engine
Considered Both Products
Gemini
No answer on this topic
Google App Engine
Verified User
C-Level Executive
Chose Google App Engine
simpler and cheaper sums up the benefits. AWS became too bureaucratic while Google App Engine made he process easier to setup. Again, I just spent a few minutes to setup a simple app, setup a budget, add my credit card and have it up and running. Google is captivating its user …
Gemini is well suited to help track issues and change requests, projects, bugs, time logs, etc. It is less appropriate for reporting needs or general office management needs.
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.
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)
Gemini's development team continues to improve the product and provides a comprehensive roadmap of upcoming features that makes you want to upgrade as soon as a new version comes out.
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.
Like learning to play checkers, the interface is easy, but the strategy has more of a learning curve. Figuring out the best prompts to use to get the desired outcome with less tries is taking me awhile to develop that skill. The images that I am able to generate are close to "camera-ready", but most do require some tweaking in image editing software to fix AI artifacts like distorted faces and randomly spelled words.
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
I've never had any problems with the support for the Gemini application itself, but it seems every time I re-install (on a single machine), I run into a licensing issue. As a result, I need to go to the app's website and request that my activation key gets reset or resent. In either case, it's a pain, but as I have to reinstall infrequently, it's a small price to pay for an otherwise solid application.
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.
In my case, it's not that Gemini won; I simply use Gemini regularly as a backup plan to compare results obtained with the leading AI in my corporate environment. I believe it's important to have this comparison of results, especially when dealing with critical issues. I think the most powerful AIs for the general public today are ChatGPT and Gemini, in that order, although CoPilot is very well positioned due to its integration with widely used Microsoft products in the corporate world.
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.