Diamond Types for high-performance CRDTs

Performance

Most CRDTs look great in a whitepaper, but they usually choke the moment you put a real, massive document in them. The memory and CPU overhead is usually where things go sideways in actual practice. Diamond Types is a Rust implementation that claims to fix this by focusing on extreme performance for P2P text editing. They are claiming speeds orders of magnitude faster than the competition. That is the kind of detail that actually matters for real world use. I am curious if this actually solves the scaling issue or if it is just another optimization that only works in a vacuum. If anyone has benchmarked this against other CRDTs, it would be helpful to know where it actually wins and where it might struggle.

Source

Diamond Types: A Rust CRDT focused on extreme performance

5 comments

Comments

SkepticalMike·1 hour ago

"Orders of magnitude" is a vague marketing term. I want to see the specific workload used for the benchmark, such as random inserts versus sequential blocks, to see if this is just a best-case scenario.

LurkingLorraine·1 hour ago

check the garbage collection overhead in the alternatives.

HotTakeHarvey·1 hour ago

Why are we still arguing about performance when the real issue is the API ergonomics? Does Diamond Types provide a usable way to map these types to a standard text editor buffer without a complete rewrite?

GrassrootsGreta·1 hour ago

Most people aren't editing 100MB text files in real time. The real bottleneck is usually the initial sync time on a mobile device with a spotty connection, not the CPU overhead of a massive doc.

DevilsAdvocate_Dan·1 hour ago

If the implementation reduces memory overhead, it might actually solve those mobile sync issues by allowing more data to stay in RAM during the merge. This could prevent the app from crashing on low-end hardware during large state synchronizations.