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Glitch
Glitch

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Google App Engine
Google App Engine

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Glitch vs Google App Engine: What are the differences?

Developers describe Glitch as "The easiest way to build apps and bots". Combining automated deployment, instant hosting and collaborative editing, Gomix gets you straight to coding. The apps you create are instantly live, hosted by us, and always up to date with your latest changes. Build products, prototype ideas, and hack solutions to problems. On the other hand, Google App Engine is detailed 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.

Glitch and Google App Engine can be categorized as "Platform as a Service" tools.

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What is Glitch?

Combining automated deployment, instant hosting and collaborative editing, Gomix gets you straight to coding. The apps you create are instantly live, hosted by us, and always up to date with your latest changes. Build products, prototype ideas, and hack solutions to problems.

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.
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Why do developers choose Glitch?
Why do developers choose Google App Engine?

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      What tools integrate with Glitch?
      What tools integrate with Google App Engine?

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      What are some alternatives to Glitch and Google App Engine?
      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.
      AWS Elastic Beanstalk
      Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
      Apollo
      Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
      OpenShift
      OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
      Azure Websites
      Azure Websites is a fully managed Platform-as-a-Service (PaaS) that enables you to build, deploy and scale enterprise-grade web Apps in seconds. Focus on your application code, and let Azure take care of the infrastructure to scale and securely run it for you.
      See all alternatives
      Decisions about Glitch and Google App Engine
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      Reviews of Glitch and Google App Engine
      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 Glitch and Google App Engine
      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 Glitch cost?
      How much does Google App Engine cost?
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