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

Heroku vs OpenShift

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510

Heroku vs OpenShift: What are the differences?

Key Differences between Heroku and OpenShift

Introduction

Heroku and OpenShift are popular platform-as-a-service (PaaS) offerings that allow developers to deploy, manage, and scale applications in the cloud. While they serve a similar purpose, there are key differences between the two platforms that developers should consider when choosing the right solution for their needs.

  1. Pricing Model: Heroku offers a simple and transparent pricing model based on the resources used by the application. It provides a clear breakdown of costs for each resource type. On the other hand, OpenShift has a more complex pricing model, as it offers different tiers with varying levels of resources and features, making it somewhat more difficult to understand and predict costs.

  2. Deployment Process: Heroku simplifies the deployment process by providing a streamlined and automated workflow. Developers can easily deploy their applications by pushing the code to the platform, which takes care of the build and deployment process. OpenShift, on the other hand, offers more flexibility and control over the deployment process. It allows developers to build and deploy applications using their preferred tools and languages, enabling a more customized deployment experience.

  3. Integration and Ecosystem: Heroku has a strong ecosystem and provides seamless integration with popular third-party services, such as databases, monitoring tools, and authentication providers. It offers a marketplace with a wide range of add-ons that can be easily integrated into applications. OpenShift, on the other hand, has a more enterprise-focused ecosystem and provides integration with Red Hat's suite of products and services. It offers certified containers and images, making it suitable for organizations with existing investments in the Red Hat ecosystem.

  4. Scalability and Performance: Heroku provides automatic horizontal scalability, where applications can scale dynamically based on demand. It offers features like dynos that can be easily provisioned or scaled down as required. OpenShift also provides scalability options, but it requires more manual configuration and management. It allows developers to scale applications using pods and replica sets, which require more advanced knowledge and setup.

  5. Supported Technologies: Heroku offers a wide range of supported technologies and languages, including popular frameworks like Ruby on Rails, Node.js, and Python Django. It provides a Heroku Buildpack mechanism that allows developers to easily deploy applications in different languages. OpenShift, on the other hand, has a more extensive list of supported technologies, including Java, .NET, PHP, and more. It also supports different container runtimes, such as Docker and Kubernetes, providing more flexibility for developers.

  6. Hosting Options: Heroku only provides cloud-based hosting on its own infrastructure, which may limit options for organizations with specific hosting requirements. OpenShift, on the other hand, offers more flexibility in terms of hosting options. It supports cloud-based hosting on platforms like Amazon Web Services (AWS) and Microsoft Azure, as well as on-premises hosting for organizations that prefer to keep their applications within their own data centers.

In Summary, Heroku offers a simpler pricing model and deployment process, with a strong ecosystem and support for a wide range of technologies, while OpenShift provides more flexibility and control over deployment, scalability options, and hosting choices, making it suitable for organizations with specific requirements and existing investments in the Red Hat ecosystem.

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Advice on Heroku, Red Hat OpenShift

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
Ben
Ben

Web Designer & Developer at Self-employed

Apr 12, 2022

Decided

As I was running through freeCodeCamp's curriculum, I was becoming frustrated by Replit's black box nature as a shared server solution for Node app testing. I wanted to move into a proper workflow with Git and a dedicated deployment solution just for educational or non-commercial purposes. Heroku solved that for me in spades.

Not only does Heroku support free app deployment if you don't use their extra service handlers, but you can directly hook into your GitHub repos and automatically update the app whenever you commit to the main branch. It's a simple way to get an app running as fast as possible if you wish to share a proof of concept or prototype before moving to dedicated servers.

18.1k views18.1k
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.

1.26k views1.26k
Comments

Detailed Comparison

Heroku
Heroku
Red Hat OpenShift
Red Hat OpenShift

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.

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.

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.
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
Statistics
GitHub Stars
-
GitHub Stars
885
GitHub Forks
-
GitHub Forks
510
Stacks
25.8K
Stacks
1.6K
Followers
20.5K
Followers
1.4K
Votes
3.2K
Votes
517
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
  • 99
    Good free plan
  • 63
    Open Source
  • 47
    Easy setup
  • 43
    Nodejs support
  • 42
    Well documented
Cons
  • 2
    License cost
  • 2
    Decisions are made for you, limiting your options
  • 1
    Behind, sometimes severely, the upstreams
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
No integrations available

What are some alternatives to Heroku, Red Hat OpenShift?

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.

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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