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Heroku

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Heroku vs MongoDB Stitch: What are the differences?


## Introduction

Key Differences between Heroku and MongoDB Stitch:

1. **Hosting Services**: Heroku is a cloud platform that allows you to deploy, manage, and scale applications, while MongoDB Stitch is a serverless platform by MongoDB that simplifies backend development and seamlessly integrates with MongoDB Atlas. 
2. **Scalability**: Heroku offers a range of dyno options for scaling applications based on traffic and workload, whereas MongoDB Stitch provides automatic scaling based on demand without manual intervention.
3. **Database Integration**: Heroku supports various databases including PostgreSQL, MySQL, and MongoDB, while MongoDB Stitch is specifically designed to work with MongoDB databases for seamless integration and optimization.
4. **Server-side Logic**: Heroku allows developers to deploy server-side logic written in multiple programming languages, while MongoDB Stitch provides serverless functions that can be written in JavaScript and executed in a managed environment. 
5. **Real-Time Data Sync**: MongoDB Stitch offers real-time data sync capabilities using MongoDB Change Streams for reactive data updates, while Heroku requires additional setups or third-party services for similar functionality.
6. **Pricing Model**: Heroku's pricing is based on usage of resources like dynos and add-ons, whereas MongoDB Stitch follows a pay-as-you-go pricing model based on the number of operations performed. 

In Summary, Heroku and MongoDB Stitch differ in hosting services, scalability, database integration, server-side logic, real-time data sync, and pricing models.  
Decisions about Heroku and MongoDB Stitch

I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!

Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.

Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.

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Pros of Heroku
Pros of MongoDB Stitch
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
  • 190
    Easy setup
  • 174
    Add-ons for almost everything
  • 153
    Beginner friendly
  • 150
    Better for startups
  • 133
    Low learning curve
  • 48
    Postgres hosting
  • 41
    Easy to add collaborators
  • 30
    Faster development
  • 24
    Awesome documentation
  • 19
    Simple rollback
  • 19
    Focus on product, not deployment
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    Painless & well documented
  • 6
    No-ops
  • 4
    I love that they make it free to launch a side project
  • 4
    Free
  • 3
    Great UI
  • 3
    Just works
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Security
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec
  • 2
    Static Hosting
  • 1
    Serverless
  • 1
    Best integration with MongoDB (Atlas)

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Cons of Heroku
Cons of MongoDB Stitch
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    No usable MySQL option
  • 7
    Storage
  • 5
    Low performance on free tier
  • 2
    24/7 support is $1,000 per month
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    What is Heroku?

    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

    What is MongoDB Stitch?

    MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

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    What companies use Heroku?
    What companies use MongoDB Stitch?
    See which teams inside your own company are using Heroku or MongoDB Stitch.
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    What tools integrate with Heroku?
    What tools integrate with MongoDB Stitch?

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    What are some alternatives to Heroku and MongoDB Stitch?
    DigitalOcean
    We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
    Google App Engine
    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.
    Firebase
    Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
    Docker
    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
    Microsoft Azure
    Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
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