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AWS CodeCommit

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AWS CodeCommit vs Azure Repos: What are the differences?

Introduction

AWS CodeCommit and Azure Repos are both version control services that allow developers to securely store and manage their source code repositories. While they share some similarities, they also have some key differences that set them apart.

  1. Integration with Cloud Platforms: One of the primary differences between AWS CodeCommit and Azure Repos is their integration with their respective cloud platforms. CodeCommit is tightly integrated with AWS, making it a natural choice for developers who already use other AWS services. On the other hand, Azure Repos is integrated with Microsoft Azure, offering seamless integration with other Azure services.

  2. Authentication and Authorization: Another significant difference lies in the authentication and authorization mechanisms provided by the two services. CodeCommit uses AWS Identity and Access Management (IAM) for access control, allowing developers to manage access permissions using IAM policies. Azure Repos, on the other hand, leverages Azure Active Directory (AAD), providing developers with more granular control over permissions and access management.

  3. Pricing Model: AWS CodeCommit and Azure Repos also differ in their pricing models. CodeCommit charges users based on the number of active repositories and the amount of data stored, while Azure Repos charges based on the number of active users and the size of repositories. The specific pricing details may vary, so developers should consider their usage patterns and repository sizes to determine which service will be more cost-effective for them.

  4. Supported Development Environments: CodeCommit primarily focuses on providing a seamless integration with AWS development tools, making it a popular choice for developers using AWS services. Azure Repos, on the other hand, provides support for a wider range of development environments, including Visual Studio, Eclipse, IntelliJ, and Xcode, making it more versatile for developers using different tools and languages.

  5. Code Review Workflows: CodeCommit and Azure Repos also differ in their code review workflows. CodeCommit supports code reviews through pull requests, allowing developers to request reviews from specific individuals or teams. Azure Repos, on the other hand, provides a more flexible approach with its branch policies, allowing developers to define specific policies for merging code and enforcing code quality checks.

  6. Build and Release Pipelines Integration: Another key difference lies in the integration with build and release pipelines. AWS CodeCommit integrates seamlessly with AWS CodePipeline, allowing developers to build and deploy applications directly from their repositories. Azure Repos integrates with Azure Pipelines, providing developers with a comprehensive set of tools for continuous integration and delivery, including support for various build agents and deployment targets.

In Summary, AWS CodeCommit and Azure Repos differ in their integration with cloud platforms, authentication and authorization mechanisms, pricing models, supported development environments, code review workflows, and integration with build and release pipelines. Depending on the specific requirements of developers and their preferred cloud platforms, they can choose the service that best suits their needs.

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Pros of AWS CodeCommit
Pros of Azure Repos
  • 44
    Free private repos
  • 26
    IAM integration
  • 24
    Pay-As-You-Go Pricing
  • 20
    Amazon feels the most Secure
  • 19
    Repo data encrypted at rest
  • 11
    I can make repository by myself if I have AWS account
  • 11
    Faster deployments when using other AWS services
  • 8
    AWS CodePipeline integration
  • 6
    Codebuild integration
  • 6
    Does not support web hooks yet! :(
  • 4
    Cost Effective
  • 2
    No Git LFS! Dealbreaker for me
  • 2
    Elastic Beanstalk Integration
  • 2
    Integrated with AWS Ecosystem
  • 1
    Integration via SQS/SNS for events (replaces webhooks)
  • 1
    IAM
  • 1
    Issue tracker
  • 1
    Available in Ireland (Dublin) region
  • 1
    CodeDeploy Integration
  • 1
    CodeCommit Trigger for an AWS Lambda Function
  • 1
    Open source friendly
  • 1
    Only US Region
  • 0
    Ui
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    Cons of AWS CodeCommit
    Cons of Azure Repos
    • 12
      UI sucks
    • 4
      SLOW
    • 3
      No Issue Tracker
    • 2
      Bad diffing/no blame
    • 2
      NO LFS support
    • 2
      No fork
    • 2
      No webhooks
    • 1
      Can't download file from UI
    • 1
      Only time based triggers
    • 0
      Accident-prone UI
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      What companies use AWS CodeCommit?
      What companies use Azure Repos?
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      What tools integrate with AWS CodeCommit?
      What tools integrate with Azure Repos?

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      What are some alternatives to AWS CodeCommit and Azure Repos?
      GitHub
      GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
      GitLab
      GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
      Bitbucket
      Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.
      GitHub Enterprise
      GitHub Enterprise lets developers use the tools they love across the development process with support for popular IDEs, continuous integration tools, and hundreds of third party apps and services.
      SVN (Subversion)
      Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.
      See all alternatives