Cloud Foundry vs Heroku

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Cloud Foundry

153
286
+ 1
5
Heroku

20.1K
15.6K
+ 1
3.2K
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Cloud Foundry vs Heroku: What are the differences?

Developers describe Cloud Foundry as "Deploy and scale applications in seconds on your choice of private or public cloud". Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. On the other hand, Heroku is detailed as "Build, deliver, monitor and scale web apps and APIs with a trail blazing developer experience". 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.

Cloud Foundry and Heroku can be categorized as "Platform as a Service" tools.

Some of the features offered by Cloud Foundry are:

  • Application and services centric lifecycle API
  • High performance dynamic routing
  • Buildpack support

On the other hand, Heroku provides the following key features:

  • Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.
  • Run and scale any type of app.
  • Total visibility across your entire app.

Cloud Foundry is an open source tool with 605 GitHub stars and 532 GitHub forks. Here's a link to Cloud Foundry's open source repository on GitHub.

StackShare, Heroku, and Product Hunt are some of the popular companies that use Heroku, whereas Cloud Foundry is used by VMware, SBT Aqua, and Intel. Heroku has a broader approval, being mentioned in 1504 company stacks & 961 developers stacks; compared to Cloud Foundry, which is listed in 8 company stacks and 13 developer stacks.

Decisions about Cloud Foundry and Heroku

The Friendliest.app started on Heroku (both app and db) like most of my projects. The db on Heroku was on the cusp of becoming prohibitively expensive for this project.

After looking at options and reading recommendations we settled on Render to host both the application and db. Render's pricing model seems to scale more linearly with the application instead of the large pricing/performance jumps experienced with Heroku.

Migration to Render was extremely easy and we were able to complete both the db and application moves within 24 hours.

The only thing we're really missing on Render is a CLI. With Heroku, we could manage everything from the command line in VSCode. With Render, you need to use the web shell they provide.

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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 Cloud Foundry
Pros of Heroku
  • 2
    Perfectly aligned with springboot
  • 1
    Free distributed tracing (zipkin)
  • 1
    Application health management
  • 1
    Free service discovery (Eureka)
  • 704
    Easy deployment
  • 460
    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
  • 154
    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
    Focus on product, not deployment
  • 19
    Simple rollback
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    No-ops
  • 6
    Painless & well documented
  • 4
    Free
  • 4
    I love that they make it free to launch a side project
  • 3
    Just works
  • 3
    Great UI
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec
  • 0
    Security

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Cons of Cloud Foundry
Cons of Heroku
    Be the first to leave a con
    • 23
      Super expensive
    • 6
      Not a whole lot of flexibility
    • 5
      No usable MySQL option
    • 5
      Storage
    • 4
      Low performance on free tier
    • 1
      24/7 support is $1,000 per month

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is Cloud Foundry?

    Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

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

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    What are some alternatives to Cloud Foundry and Heroku?
    Red Hat OpenShift
    OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
    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
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    OpenStack
    OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
    Terraform
    With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
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