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Deno
Deno

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Node.js

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What is Deno?

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

What is Node.js?

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
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Why do developers choose Node.js?

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What are some alternatives to Deno and Node.js?
Modernizr
It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer.
Modernizr
It’s a collection of superfast tests or detects as we like to call them which run as your web page loads, then you can use the results to tailor the experience to the user. It tells you what HTML, CSS and JavaScript features the user’s browser has to offer.
fancybox
It is a tool that offers a nice and elegant way to add zooming functionality for images, html content and multi-media on your webpages. It is built on the top of the popular JavaScript framework jQuery and is both easy to implement and a snap to customize.
Lodash
A JavaScript utility library delivering consistency, modularity, performance, & extras. It provides utility functions for common programming tasks using the functional programming paradigm.
Moment.js
A javascript date library for parsing, validating, manipulating, and formatting dates.
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Decisions about Deno and Node.js
Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter · | 16 upvotes · 1.3M views
atSmartZipSmartZip
Rails
Rails
Rails API
Rails API
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Capistrano
Capistrano
Docker
Docker
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS
MySQL
MySQL
Amazon RDS for Aurora
Amazon RDS for Aurora
Amazon ElastiCache
Amazon ElastiCache
Memcached
Memcached
Amazon CloudFront
Amazon CloudFront
Segment
Segment
Zapier
Zapier
Amazon Redshift
Amazon Redshift
Amazon Quicksight
Amazon Quicksight
Superset
Superset
Elasticsearch
Elasticsearch
Amazon Elasticsearch Service
Amazon Elasticsearch Service
New Relic
New Relic
AWS Lambda
AWS Lambda
Node.js
Node.js
Ruby
Ruby
Amazon DynamoDB
Amazon DynamoDB
Algolia
Algolia

Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

Future improvements / technology decisions included:

Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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Divine Bawa
Divine Bawa
at PayHub Ghana Limited · | 14 upvotes · 209.4K views
Node.js
Node.js
GraphQL
GraphQL
MySQL
MySQL
Prisma
Prisma
graphql-yoga
graphql-yoga
React
React
styled-components
styled-components
Next.js
Next.js
Apollo
Apollo

I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.

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Francisco Quintero
Francisco Quintero
Tech Lead at Dev As Pros · | 7 upvotes · 289.6K views
atDev As ProsDev As Pros
Node.js
Node.js
Rails
Rails
Amazon EC2
Amazon EC2
Heroku
Heroku
RuboCop
RuboCop
JavaScript
JavaScript
ESLint
ESLint
Slack
Slack
Twist
Twist

For many(if not all) small and medium size business time and cost matter a lot.

That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.

Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.

Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.

Advanced configurations can be done down the road, when the project is running and making money, not before.

But moving fast isn't the only thing we care about. We also take the job to leave a good codebase from the beginning and because of that we try to follow, as much as we can, style guides in Ruby with RuboCop and in JavaScript with ESLint and StandardJS.

Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist

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David Ritsema
David Ritsema
Frontend Architect at Herman Miller · | 7 upvotes · 38.9K views
atHerman MillerHerman Miller
Node.js
Node.js
React
React
Next.js
Next.js
prismic.io
prismic.io

When we started thinking about technology options for our own Design System, we wanted to focus on two primary goals

  1. Build a design system site using design system components - a living prototype
  2. Explore new ways of working to position our technical capabilities for the future

We have a small team of developers responsible for the initial build so we knew that we couldn’t spend too much time maintaining infrastructure on the Backend. We also wanted freedom to make decisions on the Frontend with the ability to adapt over time.

For this first iteration we decided to use Node.js, React, and Next.js. Content will be managed via headless CMS in prismic.io.

  1. Next.js so that we can run React serverside without worrying about server code.
  2. prismic.io so that our content is accessible via API and our frontend is fully independent.
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Node.js
Node.js
JavaScript
JavaScript
Django
Django
Python
Python

Django or NodeJS? Hi, I’m thinking about which software I should use for my web-app. What about Node.js or Django for the back-end? I want to create an online preparation course for the final school exams in my country. At the beginning for maths. The course should contain tutorials and a lot of exercises of different types. E.g. multiple choice, user text/number input and drawing tasks. The exercises should change (different levels) with the learning progress. Wrong questions should asked again with different numbers. I also want a score system and statistics. So far, I have got only limited web development skills. (some HTML, CSS, Bootstrap and Wordpress). I don’t know JavaScript or Python.

Possible pros for Python / Django: - easy syntax, easier to learn for me as a beginner - fast development, earlier release - libraries for mathematical and scientific computation

Possible pros for JavaScript / Node.js: - great performance, better choice for real time applications: user should get the answer for a question quickly

Which software would you use in my case? Are my arguments for Python/NodeJS right? Which kind of database would you use?

Thank you for your answer!

Node.js JavaScript Django Python

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Trey Tacon
Trey Tacon
Meteor
Meteor
Node.js
Node.js

Mixmax was originally built using Meteor as a single monolithic app. As more users began to onboard, we started noticing scaling issues, and so we broke out our first microservice: our Compose service, for writing emails and Sequences, was born as a Node.js service. Soon after that, we broke out all recipient searching and storage functionality to another Node.js microservice, our Contacts service. This practice of breaking out microservices in order to help our system more appropriately scale, by being more explicit about each microservice’s responsibilities, continued as we broke out numerous more microservices.

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Mixmax
Mixmax
Meteor
Meteor
Node.js
Node.js
Amazon EC2
Amazon EC2
Go
Go
nginx
nginx
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
AWS Elastic Beanstalk
AWS Elastic Beanstalk

As Mixmax began to scale super quickly, with more and more customers joining the platform, we started to see that the Meteor app was still having a lot of trouble scaling due to how it tried to provide its reactivity layer. To be honest, this led to a brutal summer of playing Galaxy container whack-a-mole as containers would saturate their CPU and become unresponsive. I’ll never forget hacking away at building a new microservice to relieve the load on the system so that we’d stop getting paged every 30-40 minutes. Luckily, we’ve never had to do that again! After stabilizing the system, we had to build out two more microservices to provide the necessary reactivity and authentication layers as we rebuilt our Meteor app from the ground up in Node.js. This also had the added benefit of being able to deploy the entire application in the same AWS VPCs. Thankfully, AWS had also released their ALB product so that we didn’t have to build and maintain our own websocket layer in Amazon EC2. All of our microservices, except for one special Go one, are now in Node with an nginx frontend on each instance, all behind AWS Elastic Load Balancing (ELB) or ALBs running in AWS Elastic Beanstalk.

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Praveen Mooli
Praveen Mooli
Engineering Manager at Taylor and Francis · | 12 upvotes · 777.1K views
MongoDB Atlas
MongoDB Atlas
Java
Java
Spring Boot
Spring Boot
Node.js
Node.js
ExpressJS
ExpressJS
Python
Python
Flask
Flask
Amazon Kinesis
Amazon Kinesis
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon SNS
Amazon SNS
Amazon SQS
Amazon SQS
AWS Lambda
AWS Lambda
Angular 2
Angular 2
RxJS
RxJS
GitHub
GitHub
Travis CI
Travis CI
Terraform
Terraform
Docker
Docker
Serverless
Serverless
Amazon RDS
Amazon RDS
Amazon DynamoDB
Amazon DynamoDB
Amazon S3
Amazon S3
#Backend
#Microservices
#Eventsourcingframework
#Webapps
#Devops
#Data

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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Martin Johannesson
Martin Johannesson
Senior Software Developer at IT Minds · | 11 upvotes · 39.2K views
atIT MindsIT Minds
TypeScript
TypeScript
Node.js
Node.js
TypeORM
TypeORM
PostgreSQL
PostgreSQL
Apollo
Apollo
GraphQL
GraphQL
Next.js
Next.js
MongoDB
MongoDB
React
React
PWA
PWA
AMP
AMP
#B2B
#Backend
#Serverless

At IT Minds we create customized internal or #B2B web and mobile apps. I have a go to stack that I pitch to our customers consisting of 3 core areas. 1) A data core #backend . 2) A micro #serverless #backend. 3) A user client #frontend.

For the Data Core I create a backend using TypeScript Node.js and with TypeORM connecting to a PostgreSQL Exposing an action based api with Apollo GraphQL

For the micro serverless backend, which purpose is verification for authentication, autorization, logins and the likes. It is created with Next.js api pages. Using MongoDB to store essential information, caching etc.

Finally the frontend is built with React using Next.js , TypeScript and @Apollo. We create the frontend as a PWA and have a AMP landing page by default.

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Node.js
Node.js
Laravel
Laravel
PHP
PHP
React
React
Vue.js
Vue.js

I want to create a video sharing service like Youtube, which users can use to upload and watch videos. I prefer to use Vue.js for front-end. What do you suggest for the back-end? Node.js or Laravel ( PHP ) I need a good performance with high speed, and the most important thing is the ability to handle user's requests if the site's traffic increases. I want to create an algorithm that users who watch others videos earn points (randomly but in clear context) If you have anything else to improve, please let me know. For eg: If you prefer React to Vue.js. Thanks in advance

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Node.js
Node.js
Java
Java
Spring Boot
Spring Boot
Python
Python
Flask
Flask
Django
Django

Since you said that your middleware will be accessing DB and expose API, you can go with Node.js. It will make your development fast and easy. Suppose in future you will add some business logic you can choose Java with Spring Boot or Python with Flask / Django. NOTE: Language or framework doesn't matter. Choose based on your programming knowledge.

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George Krachtopoulos
George Krachtopoulos
GraphQL
GraphQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
MySQL
MySQL
Node.js
Node.js
React
React
Django
Django

I would like to build a medium to large scale app, that has real-time operations and a good authentication system and a secure and fast API. Should I use Django with React only? Or maybe use Django for the API, Node.js for real-time operations and React for the frontend? Any suggestions? Which database should I use with those technologies? Should I use both MySQL / PostgreSQL and MongoDB together? Should I use only MongoDB or MySQL / PostgreSQL? Or is it better to go with both MySQL and PostgreSQL at the same time? Should I use also GraphQL?

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George Krachtopoulos
George Krachtopoulos
GraphQL
GraphQL
React
React
Node.js
Node.js
MongoDB
MongoDB
Django
Django
Python
Python
PostgreSQL
PostgreSQL

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

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Shivam Bhargava
Shivam Bhargava
AVP - Business at VAYUZ Technologies Pvt. Ltd. · | 11 upvotes · 9.9K views
Swift
Swift
Kotlin
Kotlin
React
React
Python
Python
Rails
Rails
Java
Java
Node.js
Node.js
#Neobank

Hi Community! Trust everyone is keeping safe. I am exploring the idea of building a #Neobank (App) with end-to-end banking capabilities. In the process of exploring this space, I have come across multiple Apps (N26, Revolut, Monese, etc) and explored their stacks in detail. The confusion remains to be the Backend Tech to be used?

What would you go with considering all of the languages such as Node.js Java Rails Python are suggested by some person or the other. As a general trend, I have noticed the usage of Node with React on the front or Node with a combination of Kotlin and Swift. Please suggest what would be the right approach!

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Node.js
Node.js
Vue.js
Vue.js
React
React
JavaScript
JavaScript
.NET
.NET

I want to start a SaaS or product based company and thinking of going with the .NET family of technologies, as I have been working on it for the past 3 years. Can anyone provide insights on the pros and cons of this approach? Would I be able to run modern JavaScript frameworks on top of it like React/Vue.js/Node.js?

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