Google App Engine vs Stamplay: What are the differences?
Developers describe Google App Engine as "Build web applications on the same scalable systems that power Google applications". 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. On the other hand, Stamplay is detailed as "API Lego for developers. Build back-end piecing together APIs as building blocks". The API-based development platform enabling developers to do 80% of the job in 1% of the time thanks to: out of the box APIs for users and data, one-click integration with any API, scalable infrastructure and SDKs. Build Rome in a day.
Google App Engine and Stamplay are primarily classified as "Platform as a Service" and "Web App Builders" tools respectively.
Some of the features offered by Google App Engine are:
- 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.
On the other hand, Stamplay provides the following key features:
- One click API integrations with Stripe, Algolia, Twilio, Sendgrid and more
- Build server-side business logic with no code
- API to store any data type
"Easy to deploy" is the primary reason why developers consider Google App Engine over the competitors, whereas "Easy to use" was stated as the key factor in picking Stamplay.
What is Google App Engine?
What is Stamplay?
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Programmers are very proud of their code. Everybody wants to build the best code as possible and they forget about delivering value to the future possible customers and the idea ends not happening.
I saw in Stamplay an opportunity to make all that ideas that were in the drawer happen—it is easy to use, to setup and it delivers what I—as a frontender—always wanted: data. Now, with my abilities I can give life for them, and finally I am launching the applications I've been dreaming for the last years.
Technically speaking, Stamplay delivers an API and there's no effort to get there. Also, all the integrations it gives us such as Stripe, Facebook, etc. are time saviors—I really just need to focus on what matters most, which is designing a great user interface for delivering the value my customers deserve.
Last but not least, are you experiencing a problem or have a question? Oh, no worries—this is your littlest problem because their staff are always ready to help you with the maximum professionalism and politeness you've ever seen.
With Cloud Endpoints you can create and deploy mobile backend in one hour or less. And it is free (until you need extra scale). I would not recommend to use Java - python is faster and has all new appengine features.
Pros: everything is in one place: task queue, cron, backend instances for data processing, datastore, mapreduce. Cons: you cannot easily move your code from GAE. Even with special 3rd party services.
Elegant. Rolled out a site fast with auth and automation. I was super-impressed with how as a (very) part-time coder I could just get the job done.
The UI gives a lot of confidence of the care and skill gone into the product.
With Cloud Endpoints you can create and deploy mobile backend in one hour or less.
PaaS for back-end components, including external data ingestion APIs, front-end web service APIs, hosting of static front-end application assets, back-end data processing pipeline microservices, APIs to storage infrastructure (Cloud SQL and Memcached), and data processing pipeline task queues and cron jobs. Task queue fan-out and auto-scaling of back-end microservice instances provide parallelism for high velocity data processing.
checking a swap require a lot of cpu resource, roster normally come out same day of month, every month, at a particular time. Which make very high spike, our flag ship product, iSwap, with the capability looking swap possibility with 10000 other rosters base on user critieria, you need a cloud computing give you this magnitude of computing power. gae did it nicely, user friendly, easy to you, low cost.
App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
Very easy to make cloud computing of ML models , and use containers like Kubernetes.