Causal Trees

Another name for Causal Trees is &quot;RGA&quot; (Replicated Growable Array). They are ~identical algorithms that were published concurrently. E.g., Automerge uses RGA (<a href="https:&#x2F;&#x2F;automerge.org&#x2F;docs&#x2F;documents&#x2F;#lists" rel="nofollow noreferrer">https:&#x2F;&#x2F;automerge.org&#x2F;docs&#x2F;documents&#x2F;#lists</a>).

How does the performance of Causal Trees compare to other CRDT implementations, especially in scenarios with a high frequency of concurrent updates? It seems like a promising approach for collaborative text apps, but I&#x27;m curious about its scalability and real-world performance.

This is a really fun post. Really appreciate the time you put into it!<p>Quick note: on mobile, the text inputs for the clients is forcing all the text to be very tiny, and you need to manually zoom in to read it.

&gt; Don’t fret if you’re a fan of central authority though, Figma successfully uses CRDTs server-side to handle the collaborative aspects of their product, as well as Soundcloud and many others.<p>Why bother with CRDTs if you’re doing server-side synchronization?<p>MMORPGs can handle synchronizing thousands of users without problem.

I don&#x27;t know what CRDT stands for, can anyone tell me?

What does SoundCloud need CRDTs for?

if you like CRDTs, have a look at pijul version control.

Conflict-Free Replicated Data Type

You posted this 2 times in 3 hours. By the way, Your connection is not private.