automerge VS crdt-benchmarks

Compare automerge vs crdt-benchmarks and see what are their differences.

automerge

A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically. (by automerge)

crdt-benchmarks

A collection of CRDT benchmarks (by dmonad)
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automerge crdt-benchmarks
11 2
11,628 177
1.7% -
9.4 3.8
20 days ago 2 months ago
JavaScript JavaScript
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

automerge

Posts with mentions or reviews of automerge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-03.

crdt-benchmarks

Posts with mentions or reviews of crdt-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-31.
  • 5000x Faster CRDTs: An Adventure in Optimization
    8 projects | news.ycombinator.com | 31 Jul 2021
    Cool! It'd be interesting to see those CRDT implementations added to Kevin Jahns' CRDT Benchmarks page[1]. The LogootSplit paper looks interesting. It looks like xray is abandoned, and I'm not sure about teletype. Though teletype's CRDT looks to be entirely implemented in javascript[2]? If the authors are around I'd love to see some benchmarks so we can compare approaches and learn what actually works well.

    And I'm not surprised these techniques have been invented before. Realising a tree is an appropriate data structure here is a pretty obvious step if you have a mind for data structures.

    To name it, I often find myself feeling defensive when people read my work and respond with a bunch of links to academic papers. Its probably totally unfair and a complete projection from my side, but I hear a voice in my head reword your comment to instead say something awful like: "Cool, but everything you did was done before. Even if they didn't make any of their work practical, usable or good they still published first and you obviously didn't do a good enough literature review if you didn't know that." And I feel an unfair defensiveness arise in me as a result that wants to find excuses to dismiss the work, even if the work might be otherwise interesting.

    Its hard to compare their benchmark results because they used synthetic randomized editing traces, which always have different performance profiles than real edits for this stuff. Their own university gathered some great real world data in an earlier study. It would have been much more instructive if that data set was used here. At a glance their RAM usage looks to be about 2 orders of magnitude worse than diamond-types or yjs. And their CPU usage... ?? I can't tell because they have no tables of results. Just some hard to read charts with log scales, so you can't even really eyeball the figures. So its really hard to tell if their work ends up performance-competitive without spending a couple days getting their enterprise style java code running with a better data set. Do you think thats worth doing?

    [1] https://github.com/dmonad/crdt-benchmarks

    [2] https://github.com/atom/teletype-crdt

    8 projects | news.ycombinator.com | 31 Jul 2021

What are some alternatives?

When comparing automerge and crdt-benchmarks you can also consider the following projects:

yjs - Shared data types for building collaborative software

teletype-crdt - String-wise sequence CRDT powering peer-to-peer collaborative editing in Teletype for Atom.

earthstar - A distributed, syncable document database for making p2p apps