StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Product

  • Stacks
  • Tools
  • Companies
  • Feed

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy Policy
  • Terms of Service

© 2025 StackShare. All rights reserved.

API StatusChangelog
  1. Stackups
  2. Stackups
  3. Clever Cloud vs Flynn vs Heroku

Clever Cloud vs Flynn vs Heroku

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Clever Cloud
Clever Cloud
Stacks224
Followers264
Votes976
Flynn
Flynn
Stacks14
Followers48
Votes16
GitHub Stars7.9K
Forks592

Clever Cloud vs Flynn vs Heroku: What are the differences?

  1. Deployment flexibility: Clever Cloud provides a variety of deployment options, allowing developers to choose from multiple deployment methods such as Git push, command-line interface, or plugins for popular frameworks. Flynn also offers flexible deployment methods, including CLI tools and APIs, catering to developers' preferences. In contrast, Heroku mainly focuses on deploying applications through Git push or Heroku CLI, limiting the flexibility compared to Clever Cloud and Flynn.
  2. Scalability options: Clever Cloud stands out with its seamless auto-scaling capabilities, allowing applications to dynamically adapt to varying traffic loads. Flynn offers manual scaling options, enabling users to control the number of instances based on their needs. On the other hand, Heroku provides automatic vertical scaling but limited horizontal scaling options, making it less customizable in terms of scalability compared to Clever Cloud and Flynn.
  3. Pricing structures: Clever Cloud offers a unique pricing model based on resources used (CPU, RAM, etc.) with pay-as-you-go flexibility, ensuring cost-effectiveness and transparency for users. Flynn's pricing is based on nodes and services usage, providing a granular approach to cost management. In contrast, Heroku implements a more traditional pricing model based on dyno types and resources, which might be less budget-friendly for certain applications compared to Clever Cloud and Flynn.
  4. Docker support : Clever Cloud and Heroku offer native support for Docker containers, enabling developers to easily deploy containerized applications on the platforms. In contrast, Flynn is designed as a platform utilizing containers at its core, allowing seamless integration and management of Docker containers for application deployment. This difference highlights Flynn's stronger emphasis on containerization compared to Clever Cloud and Heroku.
  5. Language support and integrations: Clever Cloud provides support for a wide range of programming languages and frameworks, ensuring compatibility with diverse development environments. Flynn offers extensive language support and integrations through its plugin system, enabling developers to easily extend the platform's functionality. While Heroku also supports multiple programming languages, its ecosystem might be more limited compared to Clever Cloud and Flynn in terms of integrations and customization options.
  6. Infrastructure control: Clever Cloud offers a high level of control over the underlying infrastructure, allowing users to customize runtime environments and resources to meet specific application requirements. Flynn provides similar control by enabling users to manage cluster nodes and services for increased flexibility. In contrast, Heroku abstracts much of the infrastructure management, offering a more simplified approach that might be less suitable for applications with complex infrastructure needs.

In Summary, Clever Cloud, Flynn, and Heroku differ in deployment flexibility, scalability options, pricing structures, Docker support, language support, and infrastructure control, catering to diverse development needs and preferences.

Advice on Heroku, Clever Cloud, Flynn

Alex
Alex

Oct 20, 2020

Decided

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.

101k views101k
Comments
Alejandro
Alejandro

May 13, 2022

Review

I recently came across a training course on using Django and React together. That got me thinking about how to serve up the project and remember that Heroku had a great interface for serving up my Django/Python App so I would think it should work. Figured I would throw in my 2 cents, not sure if it helps.

1.25k views1.25k
Comments
Kevin
Kevin

Jun 29, 2021

Decided

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.

29.3k views29.3k
Comments

Detailed Comparison

Heroku
Heroku
Clever Cloud
Clever Cloud
Flynn
Flynn

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.

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Flynn lets you deploy apps with git push and containers. Developers can deploy any app to any cluster in seconds.

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.;Erosion-resistant architecture. Rich control surfaces.
Auto-scalability; Multi-language;SQL and NoSQL;Couchbase;Mongodb;Postgresql;MySQL; Load-balancing;Marketplace;Websockets;Git and FTP support
Flynn goes beyond 12 factor apps. Run any Linux process written in any language or framework, even stateful apps on your own servers or any public cloud.;Scaling or adding a new cluster is simple: just add more nodes. Everything is containerized, Flynn takes care of distributing work across the cluster.;Flynn is 100% free and open source. Flynn works great out of the box, and since Flynn is modular and API-driven it's easy to modify and swap components to suit your needs.
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
592
Stacks
25.8K
Stacks
224
Stacks
14
Followers
20.5K
Followers
264
Followers
48
Votes
3.2K
Votes
976
Votes
16
Pros & Cons
Pros
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
Cons
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    No usable MySQL option
  • 7
    Storage
  • 5
    Low performance on free tier
Pros
  • 147
    Quick & easy setup
  • 104
    Amazing support
  • 87
    Ultra fast answer to any question
  • 82
    Github integration
  • 74
    Time saver
Cons
  • 2
    Super expensive
  • 1
    Not a whole lot of flexibility
Pros
  • 6
    Free
  • 5
    Supports few types of containers:libvirt-lxc, docker
  • 2
    Easy setup
  • 2
    PostgreSQL HA
  • 1
    12-factor methodology
Integrations
Mailgun
Mailgun
Postmark
Postmark
Loggly
Loggly
Papertrail
Papertrail
Redis Cloud
Redis Cloud
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Nitrous.IO
Nitrous.IO
Logentries
Logentries
MongoLab
MongoLab
Gemfury
Gemfury
Redis
Redis
PostgreSQL
PostgreSQL
Docker
Docker
GitHub
GitHub
MongoDB
MongoDB
MySQL
MySQL
Couchbase
Couchbase
Redsmin
Redsmin
Scala
Scala
Rails
Rails
Ruby
Ruby
Clojure
Clojure
Grails
Grails
Java
Java
Golang
Golang
Django
Django
PHP
PHP
PostgreSQL
PostgreSQL

What are some alternatives to Heroku, Clever Cloud, Flynn?

Google App Engine

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.

Red Hat OpenShift

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.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

CapRover

CapRover

It is an extremely easy to use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase