A central server: Most OT algorithms depend on a central system for intention preservation. CRDTs are truly distributed and need no central server at all.
Memory: Traditionally CRDTs consume more memory because deletions are preserved. OT lets you garbage collect some operations since a central system is already recording those ops and sequencing them as well.
Analysing and cancelling ops: OT lets you easily analyse incoming ops and modify/dummy-ify/cancel them without breaking the consistency. This convenience is not necessary for most cases, but really important for rich-text editing. For example when someone merges a couple of table cells when another user is deleting a column, we need to analyze these operations and modify them so as not to end-up with an invalid table structure.
If you’re going to invest your complexity budget somewhere, it seems like this is a good place for companies dealing with these structures.
A real world implication is that if you want to add a new operation to a system (like, table column merge, or moving a range of text), with OT, you can probably find a way to extend what you have to get it in there, with a painfully non-linear cost as you add more new operations. With CRDTs, you may find yourself entirely back at the drawing board. But the stuff you do support, you will support pretty well and reliably...
Personally, I prefer CRDTs for their elegance, but it can be difficult in a world of evolving requirements
Exactly the experience that we have in CKEditor 5. OT is awfully complex. However, we can fine tune it for new operations and different scenarios of usage (e.g. undoing changes is one of them). With CRDT, at least to my understanding, we might've been limited to what we'd took into consideration on day one. Seeing how many things we learnt very late in the process (5 years so far, some documented in https://ckeditor.com/blog/Lessons-learned-from-creating-a-ri...) makes me thing that we'd sink the company twice already.
I worked on a prototype for a couple of months which would have been a partial competitor to CK. We went with CRDTs because it was quicker to get something simple and reliable off the ground to demonstrate, but we were pretty sure we'd have to switch to support something for the longer term.
It wasn't chosen to go forward as a focus of the business, but it was one of the most fun periods of commercial programming I've done :)
The downside is that if a single document gets a spike of traffic because it goes viral, then that document won't scale.
yjs[2] is one CRDT that handles text reasonably well, but it can still run into performance edge cases (as they plainly/honestly admit in their README).
[1]: https://github.com/automerge/automerge/issues/89 [2]: https://github.com/yjs/yjs