Google App Engine vs Apache Tomcat: What are the differences?
What is 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.
What is Apache Tomcat? An open source software implementation of the Java Servlet and JavaServer Pages technologies. Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations.
Google App Engine belongs to "Platform as a Service" category of the tech stack, while Apache Tomcat can be primarily classified under "Web Servers".
"Easy to deploy" is the top reason why over 140 developers like Google App Engine, while over 76 developers mention "Easy" as the leading cause for choosing Apache Tomcat.
Apache Tomcat is an open source tool with 3.51K GitHub stars and 2.4K GitHub forks. Here's a link to Apache Tomcat's open source repository on GitHub.
According to the StackShare community, Apache Tomcat has a broader approval, being mentioned in 566 company stacks & 430 developers stacks; compared to Google App Engine, which is listed in 481 company stacks and 343 developer stacks.
What is Google App Engine?
What is Apache Tomcat?
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What are the cons of using Apache Tomcat?
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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.
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.
Apache Tomcat is part of the open source Ant Media Server platform that currently provides both LIVE and VOD video trans-coding and delivery features for the Promethean Platform.
I use Tomcat to run Java enterprise web apps. Used to test enterprise applications mostly written using the Spring framework
App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
Use this as the application server running on our production and development environment. Hosted on AWS.
Tomcat provides a fantastic application container that runs the majority of services of the site.
Apache Tomcat is being used as our application server for spring-based backend applications.
Very easy to make cloud computing of ML models , and use containers like Kubernetes.