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

OpenShift vs jFrog

OverviewComparisonAlternatives

Overview

Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510
jFrog
jFrog
Stacks131
Followers104
Votes0

OpenShift vs jFrog: What are the differences?

Key Differences between OpenShift and jFrog

OpenShift and jFrog are two popular platforms used in software development and deployment. While they both serve similar purposes, there are several key differences between the two.

  1. Deployment Strategy: One of the main differences between OpenShift and jFrog is their deployment strategy. OpenShift is a container management platform that focuses on managing and orchestrating containerized applications using Kubernetes, making it suitable for large-scale deployments. On the other hand, jFrog is a universal artifact repository manager that handles the storage and distribution of software binaries, making it ideal for managing software artifacts throughout the development lifecycle.

  2. Functionality: OpenShift offers a comprehensive set of tools and features that support the entire application lifecycle, including application building, container orchestration, and deployment. It provides a platform-as-a-service (PaaS) approach, where developers can focus on coding while OpenShift handles the underlying infrastructure. In contrast, jFrog is more focused on managing software artifacts, providing features like version control, dependency management, and artifact distribution, making it a popular choice for organizations practicing DevOps.

  3. Integration: OpenShift integrates seamlessly with various development and automation tools, including Jenkins, Git, and Docker, allowing for streamlined development and deployment workflows. It provides built-in CI/CD capabilities, enabling continuous integration and delivery. On the other hand, jFrog integrates with popular build tools, package managers, and CI/CD servers, allowing for easy integration into existing development workflows.

  4. Scalability: OpenShift is designed to handle large-scale deployments and can scale horizontally by adding more compute resources. It provides features like auto-scaling and load balancing to ensure high availability and performance. With jFrog, scalability is mainly focused on managing the storage and distribution of software artifacts rather than scaling the underlying infrastructure.

  5. Cost: OpenShift is an enterprise-grade platform that comes with licensing costs, especially for commercial deployments. It requires infrastructure resources for running the OpenShift cluster, which can add to the overall cost. On the other hand, jFrog offers a range of pricing options, including free and commercial versions, making it more cost-effective for smaller development teams or organizations with budget constraints.

  6. Community and Support: OpenShift has a large and active community, with continuous development and support from Red Hat, a leading open-source software company. It provides extensive documentation, forums, and developer resources, ensuring reliable support and troubleshooting. While jFrog also has a supportive community, its level of community engagement might be relatively lesser compared to OpenShift.

In summary, OpenShift is a container management platform focused on managing and orchestrating containerized applications, while jFrog is a universal artifact repository manager primarily used for managing software artifacts. OpenShift offers a comprehensive platform-as-a-service solution, integrates with various tools, and is designed for large-scale deployments. On the other hand, jFrog focuses on managing and distributing software artifacts, offers flexible pricing options, and has a growing community.

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Detailed Comparison

Red Hat OpenShift
Red Hat OpenShift
jFrog
jFrog

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.

Host, manage and proxy artifacts using the best Docker Registry, Maven Repository, Gradle repository, NuGet repository, Ruby repository, Debian repository npm repository, Yum repository.

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
885
GitHub Stars
-
GitHub Forks
510
GitHub Forks
-
Stacks
1.6K
Stacks
131
Followers
1.4K
Followers
104
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

What are some alternatives to Red Hat OpenShift, jFrog?

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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