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Difference between Centralized Version Control and Distributed Version Control
Version control systems track changes to source code over time and allow multiple developers to collaborate. The two main models are Centralized Version Control (CVCS) and Distributed Version Control (DVCS), which differ in how they store history and handle collaboration.
Centralized Version Control (CVCS)
Centralized Version Control uses a client/server model where a single central server contains the complete history of the source code. Developers get a working copy from the server, make changes locally, and commit those changes back to the central server. Examples include SVN (Subversion) and CVS.
Distributed Version Control (DVCS)
Distributed Version Control gives each developer a full copy of the entire repository, including its complete history. Developers work on local branches, commit locally, and then push changes to a shared remote repository. Examples include Git and Mercurial.
Key Differences
| Feature | Centralized (CVCS) | Distributed (DVCS) |
|---|---|---|
| Working Model | Get working copy from server, commit back to server | Clone full repo locally, push changes to remote |
| Learning Curve | Easy to learn and set up | Steeper learning curve (more commands) |
| Branching | Difficult, frequent merge conflicts | Easy and lightweight, fewer conflicts |
| Offline Access | Not available (requires server connection) | Full offline access (complete repo is local) |
| Speed | Slower (every operation contacts the server) | Faster (most operations are local) |
| Server Downtime | Developers cannot work | Developers continue working with local copies |
| Examples | SVN, CVS, Perforce | Git, Mercurial, Bazaar |
Conclusion
Centralized version control (like SVN) is simpler but depends entirely on a central server. Distributed version control (like Git) gives every developer a full repository clone, enabling offline work, faster operations, and easier branching, making it the preferred choice for modern software development.
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