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  2. Application & Data
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  4. Platform As A Service
  5. Dokku vs Domino vs tsuru

Dokku vs Domino vs tsuru

OverviewComparisonAlternatives

Overview

tsuru
tsuru
Stacks15
Followers43
Votes33
GitHub Stars5.2K
Forks549
Domino
Domino
Stacks26
Followers29
Votes0
Dokku
Dokku
Stacks180
Followers216
Votes69
GitHub Stars31.4K
Forks2.0K

Dokku vs Domino vs tsuru: What are the differences?

  1. Deployment Method: Dokku is a self-hosted Platform as a Service (PaaS) solution that allows developers to deploy applications on their own infrastructure. Domino is a cloud-based data science platform that provides collaboration features for data scientists. Tsuru is an open-source PaaS that supports multiple languages and frameworks.

  2. Supported Languages: Dokku supports a wide variety of programming languages and frameworks, making it versatile for different types of applications. Domino is specifically tailored for data science projects, offering tools and features optimized for that domain. Tsuru also supports multiple languages and frameworks, providing flexibility for developers.

  3. Community Support: Dokku has a strong community of developers contributing to its open-source project, providing regular updates and support. Domino offers enterprise-level support for its platform, catering to businesses that require reliable assistance. Tsuru also has an active community backing its open-source project, ensuring continuous development and improvements.

  4. Scalability: Dokku is suitable for small to medium-sized applications and can be easily scaled up by adding more resources. Domino is designed to handle large-scale data science projects with complex requirements for processing and analytics. Tsuru offers scalability options for applications that need to grow dynamically based on demand.

  5. Data Science Focus: Domino stands out for its focus on data science workflows, providing features like version control, collaboration tools, and reproducibility for experiments. Dokku and Tsuru are more general-purpose PaaS solutions that cater to a wider range of applications without the specialized features for data science projects.

  6. Ease of Use: Dokku is known for its simplicity and ease of setup, making it a popular choice for developers who prefer a straightforward deployment process. Domino offers a user-friendly interface and intuitive tools tailored for data scientists, streamlining the workflow for analysis and experimentation. Tsuru emphasizes simplicity and ease of use in its platform, aiming to reduce complexity for developers deploying applications.

In Summary, Dokku, Domino, and Tsuru each have unique strengths in deployment methods, language support, community, scalability, focus areas, and ease of use for different types of applications and projects.

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Detailed Comparison

tsuru
tsuru
Domino
Domino
Dokku
Dokku

tsuru is an open source polyglot cloud application platform (PaaS). With tsuru, you don’t need to think about servers at all. You can write apps in the programming language of your choice, back it with add-on resources such as SQL and NoSQL databases, memcached, redis, and many others. You manage your app using the tsuru command-line tool and you deploy code using the Git revision control system, all running on the tsuru infrastructure.

Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.

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.

Fast and secure. The entire process is really simple with no special tools needed, just a simple git push.;Scaling in Tsuru is completely painless. Just add a unit and Tsuru will take care of everything else.;Tsuru is built to be extensible. Through services you can provide anything your application needs.
Domino Cloud supports the most powerful data analysis languages — Python, R, MATLAB, and Julia;Modern and powerful cluster management;Use a single-core machine during development; then, with one click, scale up to a 32-core machine to crunch through that data quickly;Domino installs, maintains, and updates common platform dependencies so you never get stuck in “version hell” again;Domino automatically keeps a revisioned history of all three — code, data, and results — so you can always reproduce past work;Easy synchronization, Email notifications & reports, and Discusscussions
Open source PAAS alternative to Heroku; No vendor lock-in; Getting started is extremely easy; Extensible & customizable
Statistics
GitHub Stars
5.2K
GitHub Stars
-
GitHub Stars
31.4K
GitHub Forks
549
GitHub Forks
-
GitHub Forks
2.0K
Stacks
15
Stacks
26
Stacks
180
Followers
43
Followers
29
Followers
216
Votes
33
Votes
0
Votes
69
Pros & Cons
Pros
  • 5
    Supports sites with millions of users at globo.com
  • 5
    Ready for production with docker since 2013
  • 5
    Very receptive to contributions
  • 4
    Truly opensource - no comercial version
  • 4
    Tsuru improved our time to market and Devs happiness
No community feedback yet
Pros
  • 23
    Simple
  • 12
    Open Source
  • 11
    Free
  • 11
    Built on Docker
  • 4
    Git deploy
Integrations
Docker
Docker
No integrations available
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 tsuru, Domino, Dokku?

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.

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.

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