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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.