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ExpressJS vs Go: What are the differences?

What is ExpressJS? Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple. Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

What is Go? An open source programming language that makes it easy to build simple, reliable, and efficient software. Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

ExpressJS can be classified as a tool in the "Microframeworks (Backend)" category, while Go is grouped under "Languages".

"Simple", "Node.js" and "Javascript" are the key factors why developers consider ExpressJS; whereas "High-performance", "Simple, minimal syntax" and "Fun to write" are the primary reasons why Go is favored.

ExpressJS and Go are both open source tools. It seems that Go with 60.5K GitHub stars and 8.37K forks on GitHub has more adoption than ExpressJS with 44.6K GitHub stars and 7.48K GitHub forks.

According to the StackShare community, ExpressJS has a broader approval, being mentioned in 854 company stacks & 790 developers stacks; compared to Go, which is listed in 903 company stacks and 609 developer stacks.

What is ExpressJS?

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

What is Go?

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.
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What are some alternatives to ExpressJS and Go?
Koa
Koa aims to be a smaller, more expressive, and more robust foundation for web applications and APIs. Through leveraging generators Koa allows you to ditch callbacks and greatly increase error-handling. Koa does not bundle any middleware.
React
Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.
Flask
Flask is intended for getting started very quickly and was developed with best intentions in mind.
Django
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
nginx
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
See all alternatives
Decisions about ExpressJS and Go
Antonio Sanchez
Antonio Sanchez
CEO at Kokoen GmbH · | 11 upvotes · 71.5K views
atKokoen GmbHKokoen GmbH
ExpressJS
ExpressJS
Node.js
Node.js
JavaScript
JavaScript
MongoDB
MongoDB
Go
Go
MySQL
MySQL
Laravel
Laravel
PHP
PHP

Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.

Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.

By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.

Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.

There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.

We also decided to switch the website from PHP and Laravel to JavaScript and Node.js and ExpressJS since working with the JSON Data that we were saving now in the Database would be easier.

As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com

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Omar Mehilba
Omar Mehilba
Co-Founder and COO at Magalix · | 11 upvotes · 42.3K views
atMagalixMagalix
Python
Python
Go
Go
Amazon EC2
Amazon EC2
Google Kubernetes Engine
Google Kubernetes Engine
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
#Autopilot

We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 13 upvotes · 658K views
atUber TechnologiesUber Technologies
Apache Spark
Apache Spark
C#
C#
OpenShift
OpenShift
JavaScript
JavaScript
Kubernetes
Kubernetes
C++
C++
Go
Go
Node.js
Node.js
Java
Java
Python
Python
Jaeger
Jaeger

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Go
Go
Lua
Lua
OpenResty
OpenResty
nginx
nginx
Logstash
Logstash
Prometheus
Prometheus

At Kong while building an internal tool, we struggled to route metrics to Prometheus and logs to Logstash without incurring too much latency in our metrics collection.

We replaced nginx with OpenResty on the edge of our tool which allowed us to use the lua-nginx-module to run Lua code that captures metrics and records telemetry data during every request’s log phase. Our code then pushes the metrics to a local aggregator process (written in Go) which in turn exposes them in Prometheus Exposition Format for consumption by Prometheus. This solution reduced the number of components we needed to maintain and is fast thanks to NGINX and LuaJIT.

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Antonio Kobashikawa
Antonio Kobashikawa
Web developer | Blogger | Freelancer at Rulo Kobashikawa · | 4 upvotes · 39.2K views
Koa
Koa
ES6
ES6
JavaScript
JavaScript
Ionic
Ionic
Vue.js
Vue.js
MongoDB
MongoDB
ExpressJS
ExpressJS
Node.js
Node.js

We are using Node.js and ExpressJS to build a REST services that is middleware of a legacy system. MongoDB as database. Vue.js helps us to make rapid UI to test use cases. Frontend is build for mobile with Ionic . We like using JavaScript and ES6 .

I think next step could be to use Koa but I am not sure.

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StackShare Editors
StackShare Editors
Kubernetes
Kubernetes
Go
Go
Python
Python

Following its migration from vanilla instances with autoscaling groups to Kubernetes, Postmates began facing challenges while “migrating workloads that needed to scale up very quickly.”

The built-in Horizontal Pod Autoscaler (HPA) automatically scales the number of pods in a replication controller, deployment or replica set based on observed CPU utilization. But the challenges for Postmates is that there’s no way to configure the scale velocity of one particular cluster with an HPA.

For Postmates, which runs at least three different types of applications with distinct performance and scaling characteristics, this proved problematic.

To overcome these challenges, the team created and open sourced the Configurable Horizontal Pod Autoscaler, which allows for fine-grained tuning on a per-HPA object basis. The result is that “you can configure critical services to scale down very slowly, while every other service could be configured to scale down instantly to reduce costs.”

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Git
Git
Docker
Docker
NATS
NATS
JavaScript
JavaScript
TypeScript
TypeScript
PostgreSQL
PostgreSQL
Python
Python
Go
Go

Go is a high performance language with simple syntax / semantics. Although it is not as expressive as some other languages, it's still a great language for backend development.

Python is expressive and battery-included, and pre-installed in most linux distros, making it a great language for scripting.

PostgreSQL: Rock-solid RDBMS with NoSQL support.

TypeScript saves you from all nonsense semantics of JavaScript , LOL.

NATS: fast message queue and easy to deploy / maintain.

Docker makes deployment painless.

Git essential tool for collaboration and source management.

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GitHub
GitHub
nginx
nginx
ESLint
ESLint
AVA
AVA
Semantic UI React
Semantic UI React
Redux
Redux
React
React
PostgreSQL
PostgreSQL
ExpressJS
ExpressJS
Node.js
Node.js
FeathersJS
FeathersJS
Heroku
Heroku
Amazon EC2
Amazon EC2
Kubernetes
Kubernetes
Jenkins
Jenkins
Docker Compose
Docker Compose
Docker
Docker
#Frontend
#Stack
#Backend
#Containers
#Containerized

Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.

We also implemented a dashboard app to handle user authentication/authorization, as well as a custom SSO server that runs on Heroku which allows experts to easily visit more than one instance without having to login repeatedly. The #Backend was implemented using my favorite #Stack which consists of FeathersJS on top of Node.js and ExpressJS with PostgreSQL as the main database. The #Frontend was implemented using React, Redux.js, Semantic UI React and the FeathersJS client. Though testing was light on this project, we chose to use AVA as well as ESLint to keep the codebase clean and consistent.

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Paul Whittemore
Paul Whittemore
Developer and Owner at Appurist Software · | 14 upvotes · 56.6K views
Fastly
Fastly
Electron
Electron
vuex
vuex
Vue.js
Vue.js
Quasar Framework
Quasar Framework
Vuetify
Vuetify
Node.js
Node.js
ExpressJS
ExpressJS
Fastify
Fastify

I'm building most projects using: Server: either Fastify (all projects going forward) or ExpressJS on Node.js (existing, previously) on the server side, and Client app: either Vuetify (currently) or Quasar Framework (going forward) on Vue.js with vuex on Electron for the UI to deliver both web-based and desktop applications for multiple platforms.

The direct support for Android and iOS in Quasar Framework will make it my go-to client UI platform for any new client-side or web work. On the server, I'll probably use Fastly for all my server work, unless I get into Go more in the future.

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Vishwa Bhat
Vishwa Bhat
Fullstack Developer at Sequoia · | 10 upvotes · 4.3K views
atSequoia Consulting GroupSequoia Consulting Group
Java
Java
Go
Go
Node.js
Node.js

Our new backend micro services are primarily written in Node.js and Go and legacy systems are written in Java. For our new stack decision, we aimed to achieve greater developer productivity, low IO latency and good community so we had couple of technologies in hand to choose but finally we concluded to go for Node.js for API layer and Go for CPU/IO intensive tasks. Currently the inter-services communication is happening via REST but soon to be moved to RPC-based communication.

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Robert Zuber
Robert Zuber
CTO at CircleCI · | 4 upvotes · 7K views
atCircleCICircleCI
Slack
Slack
Go
Go
Hubot
Hubot
CoffeeScript
CoffeeScript

We have added very little to the CoffeeScript Hubot application – just enough to allow it to talk to our Hubot workers. The Hubot workers implement our operational management functionality and expose it to Hubot so we can get chat integration for free. We’ve also tailored the authentication and authorization code of Hubot to meet the needs of roles within our team.

For larger tasks, we’ve got an internal #CLI written in Go that talks to the same #API as Hubot, giving access to the same functionality we have in Slack, with the addition of scripting, piping, and all of our favorite #Unix tools. When the Hubot worker recognizes the CLI is in use, it logs the commands to Slack to maintain visibility of operational changes.

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Praveen Mooli
Praveen Mooli
Technical Leader at Taylor and Francis · | 11 upvotes · 99.5K views
MongoDB Atlas
MongoDB Atlas
Amazon S3
Amazon S3
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Serverless
Serverless
Docker
Docker
Terraform
Terraform
Travis CI
Travis CI
GitHub
GitHub
RxJS
RxJS
Angular 2
Angular 2
AWS Lambda
AWS Lambda
Amazon SQS
Amazon SQS
Amazon SNS
Amazon SNS
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon Kinesis
Amazon Kinesis
Flask
Flask
Python
Python
ExpressJS
ExpressJS
Node.js
Node.js
Spring Boot
Spring Boot
Java
Java
#Data
#Devops
#Webapps
#Eventsourcingframework
#Microservices
#Backend

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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Samuel Olugbemi
Samuel Olugbemi
Software Engineer at Payzone UK · | 6 upvotes · 8K views
atPayzone UKPayzone UK
ExpressJS
ExpressJS
LoopBack
LoopBack

I use LoopBack because it is: * It is truly and Unbelievably Extensible * it is default integrated with OpenAPI (Swagger) Spec Driven REST API * I write lesser codes, because most of the user stories have been covered using the code generation * It's documentation is more compact and well detailed than ExpressJS * It is very easy to learn, hence you can build a basic Rest API App in minutes * It has built in NPM packages required to build my Rest API which saves me time on installation and configuration * The Datasource/Service/Controller concept is just Brilliant (that's mostly all you need to get your app speaking with an External API services) * The support for SOAP and Rest API services is amazing!

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John Datserakis
John Datserakis
Node.js
Node.js
PHP
PHP
Go
Go

For the backend of https://www.rsvpkeeper.com I went with Go.

My past few project have been built with Go and I'm really loving it. It was my first statically typed language after many years with PHP and Node.js - and honestly I couldn't be happier to have made the switch.

The biggest thing for me, is that with the forced declaration of types - it's made me feel like I've made a more solid backend. Sometimes with PHP I felt like a stiff breeze could knock the whole thing down. I know that's an exaggeration - but it's kinda how it feels.

Anyways, everyone knows that it almost doesn't even matter what an app is actually made with - what really matters are the design decisions you make a long the way.

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Dan Larsen
Dan Larsen
CTO at FlowStack · | 7 upvotes · 14K views
atFlowStack ApSFlowStack ApS
C++
C++
C
C
Rust
Rust
Go
Go

At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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Interest over time
Reviews of ExpressJS and Go
Avatar of tschellenbach
CEO at Stream
Review ofGoGo

Go has been a joy to work with. Performance is often 30x of what we used to see with Python. It's a performant and productive programming language: https://getstream.io/blog/switched-python-go/

How developers use ExpressJS and Go
Avatar of Karma
Karma uses GoGo

The first time I actually started using Go was for software on our devices. So on our hotspots we have some custom software running in the firmware. For the first device, that was actually completely built by our manufacturer. But for the second generation most of the parts are built by us in-house and we needed a way to quickly develop software for the device. But we don't have any C programmers in-house, so we were actually looking for something that basically sits in between the friendliness of Ruby, but the performance and the ability to be deployed on an embedded system which you get with C. That's basically what led us to Go and it's been awesome for that. It works so well and so great. Since it works so great, it pushed us into looking into whether we should start using this for some backend services as well.

Avatar of Cloudcraft
Cloudcraft uses ExpressJSExpressJS

Express.js is the workhorse of the Cloudcraft.co backend. It's not the most exciting part of a stack, but it works, is very well documented, and you can find a plugin for almost everything you could possibly want. We also carefully evaluated Koa.js, but decided not to go down this route: fewer plugins, less documentation & answers online. I'm also not personally convinced by the generators yield syntax at all. ES7 async functions looks like a much better bet, and with Promises and Babel I can have that already today.

Avatar of Flutter Health Inc.
Flutter Health Inc. uses GoGo

The following basic API endpoints are implemented on the server written in Go:

  • Authorization (Sign Up, Sign In)
  • Update user profile
  • Community: add post, like post, add comment, delete post, add reply to comment
  • Self-diagnosis: send data from the app to the server
  • Journal: send user data from the app to the server
  • Add groups of community
  • Report post, report comment, report reply
  • Block user
Avatar of Zinc
Zinc uses GoGo

We wrote our own image processing, resizing, and snapshotting service in Go to allow our clients to send photos and GIFs to each other. Files are stored in S3, resized on the fly using OpenCV, and then cached in GroupCache before being served to clients.

Go allows it all to be quite fast and efficient, and entirely non-blocking on uploads!

Avatar of Diggernaut LLC
Diggernaut LLC uses GoGo

Our main web scraping engine is built usign Golang because of the way how efficiently and fast this language is. Also out compilation facility let people who dont know Golang build fast as flash scrapers to run ourside of our platform without any knowledge in programming in Golang.

Avatar of Volkan Özçelik
Volkan Özçelik uses ExpressJSExpressJS

I use express.js for nightly.zerotoherojs.com and dojo.zerotoherojs.com web apps.

Express is well-known, lightweight, works out-of-the-box, has great middleware support and has minimal learning curve.

It is the best framework to start developing a general Node.js web app.

Avatar of Refractal
Refractal uses GoGo

For some of our more taxing parts of our applications, something able to handle high I/O load quickly and with fast processing is needed. Go has completely filled that gap, allowing us to break down walls that would've been completely impossible with other languages.

Avatar of Kent Steiner
Kent Steiner uses ExpressJSExpressJS

I'm fluent in ExpressJS, but over the past two years I have moved to HapiJS. Similar results, but I find Hapi to be more full-featured towards my app, api and service needs. I can operate confidently in both.

Avatar of Promethean TV
Promethean TV uses ExpressJSExpressJS

PrometheanTV utilizes the ExpressJS web application framework to deploy various web applications and services including the Broadcast Center Tool, our video embed service, and our REST API.

Avatar of Merge In
Merge In uses ExpressJSExpressJS

We rely on ExpressJS to serve our content simply, easily, and effectively, without the bloat-ware. Big thanks to StrongLoop for supporting this package.

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