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Google App Engine
Google App Engine

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MongoDB Stitch

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Google App Engine vs MongoDB Stitch: 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, MongoDB Stitch is detailed as "Backend as a Service for web and mobile applications". MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

Google App Engine and MongoDB Stitch belong to "Platform as a Service" category of the tech stack.

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, MongoDB Stitch provides the following key features:

  • REST API to MongoDB Atlas
  • Declarative data access controls
  • Service integrations (AWS S3, Twilio...)
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- No public GitHub repository available -

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 MongoDB Stitch?

MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.
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      What are some alternatives to Google App Engine and MongoDB Stitch?
      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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      Reviews of Google App Engine and MongoDB Stitch
      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 MongoDB Stitch
      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

      How much does Google App Engine cost?
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