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

Nanobox vs OpenShift

OverviewComparisonAlternatives

Overview

Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510
Nanobox
Nanobox
Stacks12
Followers20
Votes0
GitHub Stars1.6K
Forks92

Nanobox vs OpenShift: What are the differences?

Nanobox: The Ideal Platform for Developers. Nanobox is the ideal platform for developers allowing you to focus on code, not config, by removing the need to deal with environment configuration and dev-ops complexity; OpenShift: Red Hat's free Platform as a Service (PaaS) for hosting Java, PHP, Ruby, Python, Node.js, and Perl apps. 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.

Nanobox and OpenShift can be categorized as "Platform as a Service" tools.

Some of the features offered by Nanobox are:

  • Easy to setup
  • Robust dashboard
  • Application monitoring

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

  • Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise)
  • OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift.
  • OpenShift supports frameworks ranging from Spring, to Rails, to Play

Nanobox and OpenShift are both open source tools. Nanobox with 1.36K GitHub stars and 73 forks on GitHub appears to be more popular than OpenShift with 913 GitHub stars and 561 GitHub forks.

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Detailed Comparison

Red Hat OpenShift
Red Hat OpenShift
Nanobox
Nanobox

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.

Nanobox is the ideal platform for developers allowing you to focus on code, not config, by removing the need to deal with environment configuration and dev-ops complexity.

Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise);OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift;OpenShift supports frameworks ranging from Spring, to Rails, to Play;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command
Easy to setup;Robust dashboard;Application monitoring;Logs;Ability to manage individual servers;Ability to deploy on your own cloud or private servers;Easy, automated SSL certificate issue process;Components of apps containerized together;Simple and predictable pricing;Ability to control overall costs compared with competitors
Statistics
GitHub Stars
885
GitHub Stars
1.6K
GitHub Forks
510
GitHub Forks
92
Stacks
1.6K
Stacks
12
Followers
1.4K
Followers
20
Votes
517
Votes
0
Pros & Cons
Pros
  • 99
    Good free plan
  • 63
    Open Source
  • 47
    Easy setup
  • 43
    Nodejs support
  • 42
    Well documented
Cons
  • 2
    Decisions are made for you, limiting your options
  • 2
    License cost
  • 1
    Behind, sometimes severely, the upstreams
No community feedback yet
Integrations
No integrations available
Java
Java
Rust
Rust
Docker
Docker
Perl
Perl
Scala
Scala
Elixir
Elixir

What are some alternatives to Red Hat OpenShift, Nanobox?

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.

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.

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