Perforce handles binary assets and granular access control; Git wins on distributed workflows and ecosystem integration. Compare architecture, branching, performance, and cost to choose the right VCS — or learn how to run both.
When teams pick a version control system in 2026, the conversation often comes down to Perforce vs Git. The two were built for different worlds: Perforce for centralized source code management and large binary-heavy workflows; Git for distributed software development on the open web. Comparing Git vs Perforce, the tradeoffs land in different places.
The real comparison for managing source code comes down to architecture, branching, binary files, access control, and scale. This guide covers those Git vs Perforce differences and the middle path: running both.
| Feature | Perforce (Helix Core) | Git |
|---|---|---|
| Architecture | Centralized version control system | Distributed version control system |
| Branching | Streams; lighter than classic Perforce branching, heavier than Git | Lightweight, local, branch-and-merge as a daily activity |
| Large file handling | First-class; designed for large binary files | Usually handled with Git LFS |
| Access control | Granular permissions by depot path, file, and directory | Host-managed access at the repo level; LFS access depends on platform |
| Performance at scale | Strong on huge monorepos and binary-heavy workloads | Strong on code-heavy repos; large repos often require LFS, sparse checkout, or partial clone |
| Pricing | Commercial, per-seat (free tier for 5 users) | Free, open-source; hosting providers price separately |
| Best for | Game development, hardware/firmware, large teams with creative assets | Application code, distributed teams, microservices, small teams |
We'll unpack each row below.
Perforce P4, formerly Helix Core, is a centralized version control system with roots in the 1990s. The canonical history lives on a Perforce server; developers sync file versions from the centralized server to a local workspace, edit them, and submit changes back as numbered changelists.
Perforce concentrates on industries dominated by large files and binaries, where regulatory or IP concerns push toward granular permissions. That includes major game development studios, semiconductor and hardware firms, automotive and aerospace, and large financial services firms with legacy monorepos. Perforce's customer marketing has long featured Nvidia, EA, and Ubisoft.
Git is a distributed version control system created by Linus Torvalds in 2005 to manage the Linux kernel. It's free and open-source. Unlike Git's predecessors and unlike Perforce, every clone contains the full version history of the project on the developer's local machines. There's no single authoritative remote repository unless your team agrees on one, which most do, by convention, on a hosting platform like GitHub.
"Using Git" almost always means using Git through a hosting platform that adds collaboration features: GitHub, GitLab, Bitbucket, Gitea, Azure DevOps. These platforms handle pull requests, code review, CI, and issue tracking. Tools like GitHub Desktop give software developers a GUI alternative to the command line. The choice of host often matters more than the choice to use Git itself.
The most fundamental of the main differences: Perforce P4 uses a centralized model where developers check in changes to a single source of truth, so all the files have one authoritative state. Git gives each developer a full local copy of the repository on their local machines.
The centralized approach makes changes visible across the team immediately. Distributed workflows give Git its speed.
Git branching is lightweight: a branch is a pointer to a commit, so developers create branches, switch contexts, and make changes quickly. Three-way merge is the default in Git's commit process. Comparing Git to Perforce, merge conflicts get more complex as multiple developers touch the same files, and a single merge request can involve changes across many files.
Perforce branches are organized around depot paths and streams. Developers work in a configured workspace, check out specific files at the file hierarchy level, and submit changes back in a single commit changelist. For binary files, Perforce's locking model matters more than merge tooling, because the goal is to prevent concurrent edits. The pattern is "fewer, longer-lived branches" rather than Git's many short-lived branches.
This is where Perforce decisively outperforms Git. Perforce was designed from day one for large binary files (3D models, textures, audio, video, build artifacts) and supports exclusive locking so two people can't simultaneously edit something that can't be merged.
Git LFS (Large File Storage) is the standard workaround on the Git side, storing files outside the repo and replacing them with text pointers. Git LFS adds operational complexity around storage, quotas, host limits, and locking; for binary-heavy projects, those constraints become part of the operational burden. Git LFS supports file locking via its locking API, but it depends on host configuration. Perforce's locking model is more native to centralized binary workflows.
If your "code" is mostly Unreal Engine assets or hardware design, this row alone often picks Perforce.
Perforce supports granular access controls at the depot path, file, and directory level, finer than Git's repo-level model. A junior contractor can get read access to one subdirectory and nothing else. For regulated industries (defense, finance, healthcare, automotive), this matters.
Git manages access primarily at the repository level, which can mean splitting projects into multiple repositories for finer control. Git hosting platforms add organization/repository permissions, branch protections, CODEOWNERS-style review rules, and workflow policies. Some support path-based controls for specific workflows, but that is different from Perforce's native per-file protection. For most application teams, the host-level model is fine; for teams that need sub-repo permissions, Perforce's granular access controls are simpler.
Git's distributed model gives fast diffs and merges. Rough edges show up when repositories, histories, working trees, or binary assets get very large; pushes, pulls, and clones become expensive without LFS, sparse checkout, partial clone, or virtualized filesystem tooling. Large teams layer their own bottlenecks via CI and review queues, but those are operational, not Git itself.
Perforce P4 is optimized for large-scale projects with centralized workflows and binary-heavy content, and is documented to handle millions of transactions a day. Perforce's Delta Transfer feature transfers only the changes made to files, reducing storage and data-transfer costs. For application code, Git's performance is fine into hundreds of thousands of files; rough edges show up on multi-GB binary repos.
Git is open source and free. Hosting on GitHub, GitLab, or Bitbucket may cost a per-seat fee at team or enterprise tiers.
Perforce's pricing page lists a free tier for up to 5 users and a Cloud plan at $39 per user per month with 64GiB storage included; Perforce requires per-seat licensing above that. The bigger cost is operational overhead: server administration, training, and CI integration.
Game development is where the Perforce vs Git arguments get most heated. A modern AAA game ships with hundreds of GB of art assets. Two artists cannot merge edits to a .fbx file. Game dev teams with 50 people editing assets that can't be three-way merged, map cleanly onto Perforce's locking.
Unreal Engine has long-standing Perforce integration, and many studios have built game engine pipelines around it. Unity offers Unity Version Control (formerly Plastic SCM); smaller Unity teams use Git, Unity Version Control, or Perforce, depending on scale. For large studios with huge graphic assets, Perforce remains the default.
Smaller studios, indie developers, modders, and game developers on tight budgets use Git with Git LFS for game projects. It works for smaller asset sets, and the Git ecosystem is a benefit. Pain points show up at scale: LFS storage costs, slower clones, LFS locking friction. Large AAA studios standardize on Perforce; small teams often ship games on Git.
Many enterprise organizations use both. The pattern: application code in Git, large projects with creative assets in Perforce, and long migrations between them. FactSet, for example, started migrating from a Perforce monolith to GitHub microservices in 2019. Mid-migration, the team realized they'd lost the ability to search across the codebase. With code in both systems for years and over 12,000 git repositories indexed in Sourcegraph, unified search across Git and Perforce became operationally critical.
Once an organization runs both Git and Perforce, the question becomes "how do I do anything across both?":
VCS-native tools (Perforce's own search, GitHub code search, GitLab's search) only see their own system. That boundary becomes painful during migrations or in mixed-VCS organizations, and most third-party tools don't bridge it cleanly.
Sourcegraph indexes Git repositories and Perforce depots alongside each other. Code Search supports GitHub, GitLab, Bitbucket, Gerrit, Perforce, and other code hosts, with capabilities varying by host and deployment tier. It supports keyword, regex, and structural search; code navigation depends on language and indexing support.
For teams in a migration like FactSet's, this keeps developers productive mid-migration. For teams keeping both VCS long-term, it gives every developer a common code-understanding layer. Sourcegraph's MCP server can expose code search, navigation, and analysis to MCP-compatible tools, including Amp, Claude Code, Cursor, and other AI coding assistants. For Perforce-heavy deployments, confirm supported workflows with your Sourcegraph team.
Perforce and Git solve overlapping problems with different tradeoffs in modern software development. Perforce wins on binary-heavy, locking-heavy, access-control-heavy workloads. Git wins on code-heavy, distributed, ecosystem-driven workloads. Many enterprises run both version control systems.
If your team works on either or both, the challenge is keeping code searchable as your codebase grows. That's what Sourcegraph Code Search was built for: searching across Git, Perforce, and major hosting platforms from a common code-understanding layer. Book a demo to see it on your codebase.
Which is better, Perforce or Git?
Neither version control system is universally better. The Git vs Perforce decision comes down to workload: Perforce wins on very large binary repositories, exclusive file locking, and granular permissions. For code-heavy distributed work, Git is usually the better fit, with the modern dev tooling ecosystem behind it. Most enterprises with both kinds of code run both version control systems side-by-side.
Who still uses Perforce?
Major game development studios (EA, Ubisoft, and others), semiconductor and hardware firms, automotive and aerospace companies, and large financial services firms with legacy monorepos. Anywhere binary content or per-file access control dominate, Perforce remains common.
Why do people use Perforce?
Three main reasons. First, large files are handled natively, without Git LFS overhead. Second, granular access controls at the file and folder level support stricter security than Git's repo-level model. Third, exclusive file locking prevents merge conflicts on assets that can't be three-way merged.
Does Nvidia use Perforce?
Nvidia has been featured in Perforce's customer marketing for years. Like most large hardware companies, Nvidia's binary-heavy workloads map cleanly onto Perforce's strengths.
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