Spring Boot vs Tornado: What are the differences?
What is Spring Boot? Create Spring-powered, production-grade applications and services with absolute minimum fuss. Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
What is Tornado? A Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
Spring Boot and Tornado can be primarily classified as "Frameworks (Full Stack)" tools.
"Powerful and handy" is the primary reason why developers consider Spring Boot over the competitors, whereas "Open source" was stated as the key factor in picking Tornado.
Spring Boot and Tornado are both open source tools. Spring Boot with 39.3K GitHub stars and 25.5K forks on GitHub appears to be more popular than Tornado with 17.9K GitHub stars and 4.97K GitHub forks.
Intuit, MIT, and PedidosYa are some of the popular companies that use Spring Boot, whereas Tornado is used by Facebook, cloudControl, and dotCloud. Spring Boot has a broader approval, being mentioned in 326 company stacks & 585 developers stacks; compared to Tornado, which is listed in 69 company stacks and 16 developer stacks.
What is Spring Boot?
What is Tornado?
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spring boot allow my team to start building web services quickly and package it in a stand alone application
SpreadServe's RealTimeWebServer is built in Tornado. Spreadsheets loaded into SpreadServeEngine instances are projected into browsers using Tornado. Server side recalcs are pushed to the browser using web sockets.
Spring-Boot allows us to create stand-alone web servers and helps us configure many of our dependencies with sane default, while maintaining flexibility where we need it.
setup an api for a client with tornado backend. incredibly fast and lightweight. unfortunately breaks down when using third party libraries which block internally.
Tornado with Async/Await coroutines provided in Python 3.5 make up for an excellent stack for a micro-service.