Editorial note: This guide was developed through editorial analysis of official documentation and related technical resources to explain version control systems clearly for beginners. It is an explainer, not a benchmark, lab test, or exhaustive product review.
Version control systems track changes to files over time. They let you review earlier versions, compare edits, restore lost work, and collaborate without constantly overwriting someone else’s changes. In software development, they are the standard way to manage source code, though the same principle can apply to many other digital files.
The quickest useful answer is this: there are three main types of version control systems. A local system keeps history on one machine. A centralized system keeps the official history on a server. A distributed system gives each developer a full copy of the repository and its history. That one difference shapes how teams work, how they recover from failure, and how flexible their workflow can be.
For most modern software teams, the version control system that matters most is Git. GitHub describes Git as the most popular distributed version control system, and Microsoft treats Git as the default choice for new Azure DevOps projects, even while continuing to support TFVC in existing environments.
What a version control system actually does
A version control system keeps a reliable history of a project. In practice, that means you can go back to an earlier version, see who changed something and when, compare revisions, and work on a feature or fix without losing track of the main codebase. That is useful for teams, but it also matters for solo developers who want safer rollback and a clean change history.
Without version control, people tend to rely on duplicate folders, renamed files, or manual backups. Those habits work briefly, then fail when the project grows or more than one person is involved. Version control replaces that with a system built for history, recovery, and collaboration.
The three main types of version control systems
The simplest way to understand the category is to ask one question: where does the project history live?
Local version control systems
A local version control system stores revision history on one computer. It improves on manually copying files into dated folders, but it still keeps everything in one place. That makes it workable for a narrow solo workflow and weak for collaboration, shared visibility, or backup resilience. Git’s documentation uses RCS as a classic example of a local system.
Best for: solo work, limited experiments, small personal projects
Less suited to: team collaboration, shared codebases, or workflows that need strong resilience
Centralized version control systems
A centralized version control system stores the official history on a central server. Developers work from that shared source and commit changes back to it. This was the standard team model for years, and it still appears in enterprise and legacy environments. Microsoft’s Git vs. TFVC comparison is a useful official reference for this distinction.
This model has real advantages. It gives teams one managed source of truth, can simplify administration, and keeps authority centered on the server. The trade-off is dependency: the server becomes central to the workflow, and historical data is not fully replicated on every developer machine.
Best for: organizations built around centralized infrastructure, strict server-side administration, or legacy enterprise workflows
Less suited to: teams that want lightweight branching, strong offline capability, or more flexible collaboration
Distributed version control systems
A distributed version control system gives every developer a full copy of the repository and its history. GitHub explains that in a DVCS, every developer has a full copy of the project and project history, which means many operations do not depend on a constant connection to a central repository.
That changes how work happens. Developers can commit locally, inspect history locally, create branches locally, and synchronize changes when they are ready. This makes distributed systems well suited to parallel development, experimentation, remote collaboration, and modern code review workflows. Git is the best-known example, but Mercurial, Bazaar, and Darcs are also distributed systems.
Best for: most modern software teams, remote or hybrid collaboration, branch-heavy workflows
Less suited to: teams that specifically need a centralized operating model for administrative or legacy reasons
Centralized vs. distributed: the difference most readers care about
For beginners, this is the comparison worth remembering.
In a centralized system, the server holds the official history and many core operations depend on that central source. In a distributed system, each developer has the history locally and then synchronizes with shared repositories as needed.
Microsoft’s documentation makes this distinction explicit when comparing Git with TFVC.
That affects day-to-day work in a few practical ways:
- Offline work: Distributed systems handle it better because the repository history is already on the local machine.
- Branching: Git-style workflows make it easier to isolate work on a branch and merge it later.
- Resilience: Distributed systems spread risk across clones instead of concentrating everything in one server copy. Git’s documentation describes each clone as a full backup.
- Administration: Centralized systems can still make sense where a tightly controlled server-centered workflow is the priority.
That does not mean distributed systems are automatically better in every environment. It means they fit the way many current software teams actually build and collaborate.
The beginner terms that matter most
A few core terms make the whole topic easier to follow.
A repository is the project plus its tracked history. A commit is a saved snapshot of changes. A branch is a separate line of development that lets you work in isolation before merging your changes back. GitHub’s Git basics documentation is a good next step if you want to go deeper after this article.
Once those three ideas click, the rest of version control becomes much easier to understand.
Why Git is usually the first system people learn
If you are learning version control for modern software work, Git is usually the right place to start.
That does not mean older tools disappeared. Subversion, TFVC, and other systems still exist in real organizations. But for most new projects, the practical learning path is simple: understand version control as a category, then learn Git. That reflects both GitHub’s documentation and Microsoft’s current Azure DevOps guidance.
Git vs. GitHub: a common beginner confusion
Git and GitHub are related, but they are not the same thing.
Git is the version control system.
GitHub is a platform built around Git repositories and collaboration features.
If you are new, the easiest way to think about it is this: Git is the underlying system, and GitHub is one place where teams host and collaborate on Git repositories. GitHub’s intro to Git and GitHub explains that distinction clearly.
How to choose a version control system
For most new software projects, the most useful default advice is straightforward: choose Git unless you already have a clear reason not to.
A distributed system, usually Git, is the better fit when:
- multiple developers need to work in parallel
- branching and merging are normal parts of the workflow
- people need to work remotely or asynchronously
- local history and offline work matter
- the team is starting a new project rather than preserving an older centralized setup
A centralized system may still make sense when:
- your organization already depends on a centralized toolchain
- the team works in a legacy environment built around TFVC or SVN
- strong server-centered administration matters more than flexible local branching
- migration costs are high enough that changing systems is not worth it right now
A local system is mostly useful as a historical concept or a narrow solo workflow, not as the best default for collaborative development.
Where version control fits in the bigger picture
Version control is not a side topic. It sits at the center of real development work: building features, fixing bugs, reviewing changes, and keeping a reliable history of what happened. If your are new to software work more broadly, What Is Web Development? A Beginner Intro is a logical next step because it gives the wider project context around repositories, code changes, and collaboration.
The bottom line
Version control systems exist to track change safely and make collaboration manageable. The three main types are local, centralized, and distributed. If you are learning the topic for the first time, that is the framework to remember.
In practice, most readers should go one step further: understand the category, then learn Git. It is not the only version control system, but it is the one you are most likely to use on a modern software team.
