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AWS CodeCommit vs Git: What are the differences?
Developers describe AWS CodeCommit as "Fully-managed source control service that makes it easy for companies to host secure and highly scalable private Git repositories". CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools. On the other hand, Git is detailed as "Fast, scalable, distributed revision control system". Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
AWS CodeCommit can be classified as a tool in the "Code Collaboration & Version Control" category, while Git is grouped under "Version Control System".
"Free private repos" is the top reason why over 39 developers like AWS CodeCommit, while over 1441 developers mention "Distributed version control system" as the leading cause for choosing Git.
Git is an open source tool with 27.9K GitHub stars and 16.1K GitHub forks. Here's a link to Git's open source repository on GitHub.
According to the StackShare community, Git has a broader approval, being mentioned in 3891 company stacks & 4632 developers stacks; compared to AWS CodeCommit, which is listed in 24 company stacks and 17 developer stacks.
Pros of AWS CodeCommit
- Free private repos44
- IAM integration26
- Pay-As-You-Go Pricing24
- Amazon feels the most Secure20
- Repo data encrypted at rest19
- I can make repository by myself if I have AWS account11
- Faster deployments when using other AWS services11
- AWS CodePipeline integration8
- Codebuild integration6
- Does not support web hooks yet! :(6
- Cost Effective4
- No Git LFS! Dealbreaker for me2
- Elastic Beanstalk Integration2
- Integrated with AWS Ecosystem2
- Integration via SQS/SNS for events (replaces webhooks)1
- IAM1
- Issue tracker1
- Available in Ireland (Dublin) region1
- CodeDeploy Integration1
- CodeCommit Trigger for an AWS Lambda Function1
- Open source friendly1
- Only US Region1
- Ui0
Pros of Git
- Distributed version control system1.4K
- Efficient branching and merging1.1K
- Fast959
- Open source845
- Better than svn726
- Great command-line application368
- Simple306
- Free291
- Easy to use232
- Does not require server222
- Distributed27
- Small & Fast22
- Feature based workflow18
- Staging Area15
- Most wide-spread VSC13
- Role-based codelines11
- Disposable Experimentation11
- Frictionless Context Switching7
- Data Assurance6
- Efficient5
- Just awesome4
- Github integration3
- Easy branching and merging3
- Compatible2
- Flexible2
- Possible to lose history and commits2
- Rebase supported natively; reflog; access to plumbing1
- Light1
- Team Integration1
- Fast, scalable, distributed revision control system1
- Easy1
- Flexible, easy, Safe, and fast1
- CLI is great, but the GUI tools are awesome1
- It's what you do1
- Phinx0
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Cons of AWS CodeCommit
- UI sucks12
- SLOW4
- No Issue Tracker3
- Bad diffing/no blame2
- NO LFS support2
- No fork2
- No webhooks2
- Can't download file from UI1
- Only time based triggers1
- Accident-prone UI0
Cons of Git
- Hard to learn16
- Inconsistent command line interface11
- Easy to lose uncommitted work9
- Worst documentation ever possibly made8
- Awful merge handling5
- Unexistent preventive security flows3
- Rebase hell3
- Ironically even die-hard supporters screw up badly2
- When --force is disabled, cannot rebase2
- Doesn't scale for big data1