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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.
What is Glitch?
What is Google App Engine?
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Why do developers choose Glitch?
Why do developers choose Google App Engine?
- Auto scaling108
- Low cost34
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What are the cons of using Glitch?
What are the cons of using Google App Engine?
What companies use Glitch?
What companies use Google App Engine?
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What tools integrate with Glitch?
What tools integrate with Google App Engine?
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Google App EngineWith 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.
Google App EngineWith Cloud Endpoints you can create and deploy mobile backend in one hour or less.
Google App EnginePaaS 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.
Google App Enginechecking 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.
Google App EngineApp engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
Google App EngineVery easy to make cloud computing of ML models , and use containers like Kubernetes.
Google App EngineCloud instances to run our app, Cloud MySQL , Network Load Balancer