Earlier quoted context omitted.
>With perforce, you can reasonably expect to run into this brick wall somewhere in the neighborhood of terabytes of metadata and dozens of transactions per second. That changes depending on what sort of beastly hardware you are willing to throw at your version control team. >Git of course hits a brick wall much sooner, somewhere around single-digit gigabytes of data (depending heavily on the average size of every obj…
That is certain. If you are trying to run at a very large scale with a single repo, Perforce (or apparently Mercurial) is the way to go. The problem is "how do you grow even further ?" There isn't a perfect solution to that (yet), but I think the only existing workable (although absolutely imperfect) solution is splitting your codebase into many small repos. Thankfully very few companies need to worry about this prob…
that is the problem - single logical repo in Perforce/Mercurial does mean single physical repo. Which obviously causes issues at very large scale. Even at normal enterprise scale :)
Git solves it through kind of distributed scaling where many operations can be performed on local physical repos without ever hitting the central. With centralized solutions, like Perforce, Mercurial, etc... most of the operations are performed on central server and your ability to scale vertically hits the ceiling pretty soon.
Compare the simplest case - each dev updating his local workspace/repo would hit the central server in Perforce where is with Git you can (and normally would have) a small set of downstream repos which the updates would be propagated/distributed through. You can branch left and right in Git in your local and team's repos without "master" repo and "central" server involved (while all your branch activity in Perforce is happening right on the central server in the central repo). The same happens for synchronizing your work inside the team - no need to hit the central. Etc...