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Azure Repos vs Bitbucket: What are the differences?
As organizations continue to leverage version control systems for software development, distinguishing between Azure Repos and Bitbucket becomes crucial. Below are the key differences between Azure Repos and Bitbucket that can aid in decision-making processes.
Hosting Type: Azure Repos is solely cloud-based and part of Microsoft Azure's suite of services, while Bitbucket offers both cloud-based and self-hosted options, providing more flexibility for teams with specific hosting requirements.
Pricing Structure: Azure Repos is bundled as part of Azure DevOps Services, with pricing based on the usage of the entire DevOps platform. In contrast, Bitbucket offers a tiered pricing structure based on the number of users, making it a more cost-effective solution for smaller teams.
Integration Capabilities: Azure Repos seamlessly integrates with other Azure services such as Azure Boards for project management and Azure Pipelines for CI/CD processes, offering a comprehensive DevOps solution. Bitbucket, on the other hand, integrates well with other Atlassian products like Jira and Bamboo, catering to teams using the Atlassian ecosystem.
Built-in Code Search: Bitbucket provides built-in code search functionality, allowing developers to quickly find and navigate code within repositories. While Azure Repos lacks this feature natively, it can be supplemented using Azure Search for code search capabilities.
Support for Large Files: Bitbucket excels in handling large files and repositories due to its LFS (Large File Storage) support, making it ideal for projects with extensive media or binary files. Azure Repos, on the other hand, may encounter limitations with large files due to the default file size constraints in Azure DevOps.
In Summary, Azure Repos offers deep integration with Azure services and a cloud-exclusive hosting model, while Bitbucket provides flexibility in hosting options, robust code search capabilities, and better support for large files.
Do you review your Pull/Merge Request before assigning Reviewers?
If you work in a team opening a Pull Request (or Merge Request) looks appropriate. However, have you ever thought about opening a Pull/Merge Request when working by yourself? Here's a checklist of things you can review in your own:
- Pick the correct target branch
- Make Drafts explicit
- Name things properly
- Ask help for tools
- Remove the noise
- Fetch necessary data
- Understand Mergeability
- Pass the message
- Add screenshots
- Be found in the future
- Comment inline in your changes
Read the blog post for more detailed explanation for each item :D
What else do you review before asking for code review?
One of the magic tricks git performs is the ability to rewrite log history. You can do it in many ways, but git rebase -i
is the one I most use. With this command, It’s possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.
It’s particularly useful to run it before opening a pull request. It allows developers to “clean up” the mess and organize commits before submitting to review. If you follow the practice 3 and 4, then the list of commits should look very similar to a task list. It should reveal the rationale you had, telling the story of how you end up with that final code.
Pros of Azure Repos
Pros of Bitbucket
- Free private repos904
- Simple setup397
- Nice ui and tools348
- Unlimited private repositories341
- Affordable git hosting240
- Integrates with many apis and services123
- Reliable uptime119
- Nice gui87
- Pull requests and code reviews85
- Very customisable58
- Mercurial repositories16
- SourceTree integration14
- JIRA integration12
- Track every commit to an issue in JIRA10
- Deployment hooks8
- Best free alternative to Github8
- Automatically share repositories with all your teammates7
- Compatible with Mac and Windows7
- Source Code Insight6
- Price6
- Login with Google5
- Create a wiki5
- Approve pull request button5
- Customizable pipelines4
- #2 Atlassian Product after JIRA4
- Also supports Mercurial3
- Unlimited Private Repos at no cost3
- Continuous Integration and Delivery3
- Academic license program2
- Multilingual interface2
- Teamcity2
- Open source friendly2
- Issues tracker2
- IAM2
- IAM integration2
- Mercurial Support2
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Cons of Azure Repos
Cons of Bitbucket
- Not much community activity19
- Difficult to review prs because of confusing ui17
- Quite buggy15
- Managed by enterprise Java company10
- CI tool is not free of charge8
- Complexity with rights management7
- Only 5 collaborators for private repos6
- Slow performance4
- No AWS Codepipelines integration2
- No more Mercurial repositories1
- No server side git-hook support1