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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Platform As A Service
  5. Dokku vs Portainer

Dokku vs Portainer

OverviewComparisonAlternatives

Overview

Dokku
Dokku
Stacks180
Followers216
Votes69
GitHub Stars31.4K
Forks2.0K
Portainer
Portainer
Stacks507
Followers842
Votes146

Dokku vs Portainer: What are the differences?

Key Differences Between Dokku and Portainer

Dokku and Portainer are both popular tools used for application deployment and management. However, there are several key differences between the two:

  1. Deployment Methodology: Dokku focuses on simplicity and automation by providing a Heroku-like deployment workflow. It leverages Docker to deploy and manage applications, making it ideal for developers. On the other hand, Portainer is a Docker management interface that allows users to visualize and control their containers, making it more suitable for sysadmins or DevOps professionals.

  2. Ease of Use: While both Dokku and Portainer aim to simplify application deployment and management, Dokku takes a more hands-on approach, requiring users to configure and manage their servers manually. In contrast, Portainer provides a user-friendly web-based interface that simplifies container management tasks, making it more accessible to users with less technical expertise.

  3. Supported Platforms: Dokku is designed specifically for single-node deployments and is limited to Linux-based environments. It does not have built-in support for multi-node clusters or orchestration frameworks. On the other hand, Portainer can be used in both single-node and multi-node environments, and it supports a wide range of platforms, including Linux, Windows, macOS, and different cloud providers.

  4. Scalability: Dokku is suitable for small to medium-sized applications and is primarily focused on single-node deployments. It lacks native support for auto-scaling and load balancing, although these features can be achieved through additional configurations. Portainer, on the other hand, can manage and scale applications across multiple nodes, making it more suitable for larger and complex deployments.

  5. Monitoring and Logging: Dokku provides basic logging capabilities, but it lacks built-in monitoring and alerting features. Users will need to integrate additional tooling for advanced monitoring needs. Portainer, on the other hand, offers built-in monitoring and logging solutions, making it easier to track the performance and health of containers and applications.

  6. Community and Ecosystem: Dokku benefits from a strong and vibrant open-source community, with a wide range of plugins and extensions available. It also integrates well with the larger Docker ecosystem, which provides a wealth of resources and community support. Portainer also has an active community, but it focuses more on being a comprehensive Docker management solution rather than a platform for development and deployment.

In Summary, Dokku and Portainer differ in their deployment methodology, ease of use, supported platforms, scalability, monitoring capabilities, and ecosystem integration. Dokku is more developer-centric, focuses on simplicity, and is suited for single-node deployments, while Portainer is a user-friendly Docker management interface, supports multi-node environments, and offers built-in monitoring and logging features.

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Detailed Comparison

Dokku
Dokku
Portainer
Portainer

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.

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Open source PAAS alternative to Heroku; No vendor lock-in; Getting started is extremely easy; Extensible & customizable
Docker management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation
Statistics
GitHub Stars
31.4K
GitHub Stars
-
GitHub Forks
2.0K
GitHub Forks
-
Stacks
180
Stacks
507
Followers
216
Followers
842
Votes
69
Votes
146
Pros & Cons
Pros
  • 23
    Simple
  • 12
    Open Source
  • 11
    Built on Docker
  • 11
    Free
  • 4
    Yay, it works like a charm
Pros
  • 36
    Simple
  • 27
    Great UI
  • 19
    Friendly
  • 12
    Easy to setup, gives a practical interface for Docker
  • 11
    Because it just works, super simple yet powerful
Integrations
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
Docker Swarm
Docker Swarm
Docker Secrets
Docker Secrets
Auth0
Auth0
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Dokku, Portainer?

Heroku

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.

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.

Kubernetes

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.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

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.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

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.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

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