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  4. Platform As A Service
  5. Atlantis vs jFrog

Atlantis vs jFrog

OverviewComparisonAlternatives

Overview

jFrog
jFrog
Stacks131
Followers104
Votes0
Atlantis
Atlantis
Stacks42
Followers28
Votes2

Atlantis vs jFrog: What are the differences?

<Write Introduction here>
  1. Deployment Method: Atlantis primarily focuses on integrating with Terraform for infrastructure provisioning, allowing users to automate the deployment process. On the other hand, jFrog is primarily known for its artifact repository management, facilitating the storage and distribution of software packages. While Atlantis streamlines infrastructure changes by utilizing Terraform, jFrog simplifies the software development and deployment process by managing artifacts effectively.

  2. Collaborative Workflow: Atlantis emphasizes a collaborative workflow by enabling code reviews directly in pull requests with integrations to version control systems like GitHub. In contrast, jFrog offers advanced capabilities for managing dependencies and metadata of artifacts, promoting collaboration through centralized artifact repositories. Atlantis enhances collaboration through infrastructure changes, whereas jFrog emphasizes collaboration around software artifacts.

  3. Version Control Integration: Atlantis integrates seamlessly with version control systems like Git to automate Terraform workflows based on pull requests. In comparison, jFrog integrates with various build tools and CI/CD pipelines to manage artifact repositories and streamline software development processes. Atlantis focuses on infrastructure versioning and collaboration, while jFrog specializes in artifact versioning and software distribution.

  4. Pipeline Orchestration: Atlantis provides a streamlined approach to maintain infrastructure changes by automating Terraform workflows triggered by version control events. Conversely, jFrog extends its capabilities to support end-to-end pipeline orchestration, including artifact management, testing, and deployment stages. Atlantis simplifies infrastructure pipelines, while jFrog offers comprehensive pipeline orchestration for software delivery.

  5. Compliance and Security Features: Atlantis emphasizes infrastructure compliance by enforcing policies and best practices during Terraform execution, ensuring secure and compliant deployments. On the other hand, jFrog incorporates security features like vulnerability scanning and access control to enforce compliance and secure artifact management. While Atlantis focuses on infrastructure compliance, jFrog enhances software security and compliance in artifact repositories.

  6. Extensibility and Customization: Atlantis offers extensibility through custom Terraform modules and integrations with CI/CD tools, enabling users to customize workflows according to their infrastructure requirements. In contrast, jFrog provides flexibility through plugins and APIs for customizing artifact management processes and integrating with various development tools. Atlantis allows customization of infrastructure workflows, while jFrog offers flexibility in artifact management through customization options.

In Summary, Atlantis and jFrog differ in their focus on infrastructure provisioning with Terraform automation and artifact repository management, respectively, catering to distinct aspects of the software development lifecycle.

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Detailed Comparison

jFrog
jFrog
Atlantis
Atlantis

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

Atlantis is an Open Source PaaS for HTTP applications built on Docker and written in Go. It makes it easy to build and deploy applications in a safe, repeatable fashion, and flexibly route requests to the appropriate containers.

Statistics
Stacks
131
Stacks
42
Followers
104
Followers
28
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    It's so sunken
Integrations
No integrations available
Docker
Docker

What are some alternatives to jFrog, Atlantis?

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.

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.

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