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  4. Platform As A Service
  5. Dokku vs Heroku

Dokku vs Heroku

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Dokku
Dokku
Stacks180
Followers216
Votes69
GitHub Stars31.4K
Forks2.0K

Dokku vs Heroku: What are the differences?

Introduction

In this Markdown formatted document, we will explore the key differences between Dokku and Heroku. Dokku and Heroku are both popular platform-as-a-service providers that offer easy deployment and management of applications, but they have distinct differences in terms of architecture, flexibility, deployment process, scalability, and cost considerations.

1. Architecture:

Dokku is built on Docker and uses lightweight containers for application deployment. It provides a Heroku-like experience but requires manual server setup and configuration. On the other hand, Heroku abstracts away the infrastructure and uses dynos as isolated lightweight containers to host applications, making it easier to deploy and manage without worrying about the underlying servers.

2. Flexibility:

Dokku provides more flexibility compared to Heroku, as it allows users to customize and modify the platform according to their specific requirements. Since Dokku is an open-source platform, users have access to the source code and can make changes as needed. However, with Heroku, users have limited control and customization options as the platform is managed and controlled by the Heroku team.

3. Deployment Process:

Dokku offers a simpler deployment process compared to Heroku. With Dokku, you can deploy your application by pushing your code to a remote Git repository, and Dokku automatically builds and deploys the application based on the specified configuration. Heroku, on the other hand, uses a Git-based workflow, where you push your code to a remote Heroku repository, and Heroku's build system takes care of building and deploying the application.

4. Scalability:

Dokku supports horizontal scalability by using Docker containers, allowing you to scale your application by adding more containers as needed. However, managing scaling and load balancing is manual and requires additional configuration. In contrast, Heroku provides an automatic horizontal scaling feature that allows your application to handle increased traffic by adjusting the number of dynos dynamically. Heroku takes care of load balancing and scaling without requiring manual intervention.

5. Cost Considerations:

Dokku is a self-hosted platform, which means you need to set up and manage your own server infrastructure to run Dokku. This can reduce the costs compared to Heroku, especially for larger applications with high traffic, as you only need to pay for the server resources. On the other hand, Heroku is a fully managed platform where you pay for the resources and services provided by Heroku, which can be more expensive, especially for applications with high resource requirements.

Summary:

In summary, Dokku and Heroku have key differences in terms of architecture, flexibility, deployment process, scalability, and cost considerations. Dokku offers more flexibility and customization options, requires manual server setup, and provides a simpler deployment process. Heroku, on the other hand, abstracts away the infrastructure, offers automatic scaling, and is a fully managed platform. Consider your specific requirements and preferences when choosing between between Dokku and Heroku.

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Advice on Heroku, Dokku

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
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
Dokku
Dokku

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.

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.

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.
Open source PAAS alternative to Heroku; No vendor lock-in; Getting started is extremely easy; Extensible & customizable
Statistics
GitHub Stars
-
GitHub Stars
31.4K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
25.8K
Stacks
180
Followers
20.5K
Followers
216
Votes
3.2K
Votes
69
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
    Storage
  • 7
    No usable MySQL option
  • 5
    Low performance on free tier
Pros
  • 23
    Simple
  • 12
    Open Source
  • 11
    Built on Docker
  • 11
    Free
  • 4
    Git deploy
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
Ubuntu
Ubuntu
Semaphore
Semaphore
Drone.io
Drone.io
CloudBees
CloudBees
Arch Linux
Arch Linux
GitLab CI
GitLab CI
Travis CI
Travis CI
CircleCI
CircleCI
GitHub Actions
GitHub Actions
Debian
Debian

What are some alternatives to Heroku, Dokku?

Clever Cloud

Clever Cloud

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.

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.

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.

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