What we mean by performance
"Performance" in version control is multidimensional: clone/checkout time, log/blame speed, branch operations, working tree refresh, and concurrent contributor scaling. Git and SVN have very different profiles.
Clone versus checkout
SVN's checkout fetches only the latest revision of files - fast for shallow checkouts, no history pulled. Git's clone fetches the entire history by default - more bytes, but you have everything locally.
# SVN: fast for first checkout, slow for history queries
svn checkout https://svn.example.com/repo trunk
# Git: slower clone, instant history thereafter
git clone https://git.example.com/repo.gitGit compensates with shallow (--depth=1) and partial (--filter=blob:none) clones for CI scenarios.
Local operations
Once cloned, Git operations are local - log, diff, blame, branch switch all hit local disk only. SVN's equivalents typically hit the network. On a fibre connection the difference is small; on a flaky train, it is everything.
git log --since='1 month' # local, instant
svn log --limit 100 # network round trip per queryBranch operations
Switching branches in Git updates a single ref and the working tree files that differ. In SVN, svn switch walks the tree, contacts the server, and rewrites files. Git is typically 10-100x faster for this operation on real repos.
Working tree size
SVN can checkout subdirectories cheaply - svn checkout https://svn.example.com/repo/trunk/docs retrieves only docs. Git's analogue is sparse checkout plus partial clone, which works but is more setup. For deeply siloed monorepos, SVN's sparse-by-default model is genuinely useful.
Repository size at scale
Git stores complete history locally. For repositories with hundreds of gigabytes of binaries and decades of revisions, Git struggles - clone times measured in hours, .git directories larger than the working tree. Tools like LFS, partial clone, and scalar mitigate but do not eliminate the constraint.
SVN's centralised model means clients only fetch what they ask for. A 200 GB SVN repository can be navigated by clients with 1 GB of disk. The flip side: every operation needs the server.
Concurrent writers
SVN serialises commits at the server. High-throughput repositories can hit limits - the FSFS backend processes commits sequentially. Git's distributed model means commit throughput is per-clone; only pushes to the central server contend.
Network bandwidth
Git pushes only deltas of commits not on the remote. SVN sends only the changed files but for every commit. For repositories with frequent commits to identical lines, Git's delta compression often wins; for sparse, large-binary commits, SVN can be more efficient per push.
Storage on the server
Git's pack files use delta compression aggressively. A long-lived Git repo's bare size is often surprisingly small. SVN's FSFS storage is also delta-based but uses a different scheme; the size difference is project-dependent and rarely decisive.
The day-to-day verdict
For a typical 100k-LOC project with thirty engineers and several years of history, Git operations feel instantaneous and SVN operations feel sluggish. The difference is the network round trip; in 2026, on a working-from-home laptop, that round trip costs 50 to 500 ms. Multiply by the dozens of log and diff calls a day and the performance gap dominates the developer experience.
Where SVN scales further
- Massive monorepos of binary content (visual effects, game art).
- Read-heavy access where most users only need the latest revision of a fraction of the tree.
- Environments where bandwidth to clients is constrained but server access is fast.
Choose with the workload in mind, not just the brand recognition.