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Google App Engine
Google App Engine

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Google App Engine vs Google App Maker: What are the differences?

Google App Engine: 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; Google App Maker: * Low-code application development for G Suite*. App Maker lets you develop powerful apps with relative ease. Create a model to manage your data, build a UI in the visual editor, use Apps Script to write some scripts, and you're on your way.

Google App Engine belongs to "Platform as a Service" category of the tech stack, while Google App Maker can be primarily classified under "Web App Builders".

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What is Google App Engine?

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.

What is Google App Maker?

App Maker lets you develop powerful apps with relative ease. Create a model to manage your data, build a UI in the visual editor, use Apps Script to write some scripts, and you're on your way.
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        What are some alternatives to Google App Engine and Google App Maker?
        Heroku
        Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
        Amazon Web Services
        It provides on-demand cloud computing platforms to individuals, companies and governments. It offers reliable, scalable, and inexpensive cloud computing services.
        DigitalOcean
        We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
        AWS Lambda
        AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
        Kubernetes
        Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
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        Decisions about Google App Engine and Google App Maker
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        Reviews of Google App Engine and Google App Maker
        Review ofGoogle App EngineGoogle App Engine

        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.

        Review ofGoogle App EngineGoogle App Engine

        With Cloud Endpoints you can create and deploy mobile backend in one hour or less.

        How developers use Google App Engine and Google App Maker
        Avatar of Casey Smith
        Casey Smith uses Google App EngineGoogle App Engine

        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.

        Avatar of Lawrence Cheuk
        Lawrence Cheuk uses Google App EngineGoogle App Engine

        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.

        Avatar of CommentBox.io
        CommentBox.io uses Google App EngineGoogle App Engine

        App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.

        Avatar of Abhijeet Gokar
        Abhijeet Gokar uses Google App EngineGoogle App Engine

        Very easy to make cloud computing of ML models , and use containers like Kubernetes.

        Avatar of Vamsi Krishna
        Vamsi Krishna uses Google App EngineGoogle App Engine

        Cloud instances to run our app, Cloud MySQL , Network Load Balancer

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