noms VS absurd-sql

This is from 2022. It is based on Noms [1], which is no longer maintained (they forked it).

I think the Noms doc linked from this article [2] is clearer than the article itself. That said I sill cannot turn my head around to grasp how this entire thing work tbh. I hope they wrote a peer reviewed paper to serve the audience better.

[1] https://github.com/attic-labs/

[2] https://github.com/attic-labs/noms/blob/master/doc/intro.md#...

I am. But i know very little about CRDTs lol, so we'll see how that goes. I'm interested in converting some immutable, local-first data warehouse tooling i enjoy to a CRDT version. Prior it was more.. Git-like. Basically just Git with data structures inspired-massively from Noms[1].

The thing i've found most interesting is it appears[2] that CRDT backends need to expose CRDT flavored types to users. Which is to say how i'm writing this combines the notion of a type, say `[i32]` with how you want the merges to work. CRDT works great but based on my amateur-hour researching on the subject i don't feel you can write a single CRDT merge strategy for a single data type ala `[i32]` and have it be always correct. Applications need to indicate enough context on what makes sense for a given data type.

So yea, i agree with you. I'm interested in making a database-like thing, backed by CRDTs, but i also have seen very few general purpose implementations with CRDTs. It feels like i'm breaking "new ground", while having no idea what i'm doing and having no intention of being an actual researcher here. I'm just making apps i enjoy heh.

[1]: https://github.com/attic-labs/noms

Most of the changes are in the noms package which used to live in a separate repo (https://github.com/attic-labs/noms), but Dolt has since adopted them.

Not much more to say other than Noms was my favorite project (https://github.com/attic-labs/noms) for a while until acquisition and the engineers are now the ones behind Replicache (https://replicache.dev/).

I think this is going to be the next "Realm" that works everywhere.

The storage layer based on Noms: https://github.com/attic-labs/noms

Noms might be what you’re looking for (https://github.com/attic-labs/noms). Dolt is actually a fork of Noms.

People that are interested in a similar feature set should check out https://github.com/attic-labs/noms and the SQL fork of Noms, https://github.com/dolthub/dolt

Not really, but I'm aware of absurd-sql. Note that this requires IndexedDB and thus a browser environment.

I don't need SQL capabilities, so I didn't look into those options (there's also absurd-sql, which ports sqlite to the browser on top of IndexedDB).

Ironically I was just about to drop in absurd-sql [1] to a project, which uses indexeddb to back SQLite. This seems better.

[1] https://github.com/jlongster/absurd-sql

There is also absurd-sql that is sqlite3 in wasm using IndexDB as storage and it’s faster than IndexDB itself

[1]: https://github.com/jlongster/absurd-sql

Offline data: running it in the browser for an offline cache, similar to sql.js or absurd-sql.

We are very close to having WASM SQLite with persistence in the web platform. Until now SQLite compiled to WASM was in memory and you had to write the whole database out as a binary array to save changes. There is absurd-sql (https://github.com/jlongster/absurd-sql), which builds a virtual file system on top of IndexedDB for sqlite, its incredible, but a bit of an ugly hack.

However, the new file-access apis (https://developer.mozilla.org/en-US/docs/Web/API/File_System...) that are landing in browsers will fix this. One of the things it does is enable very efficient block level read/write access to a privet sandboxed filesystem for the websites origin, perfect for persistent sqlite. There is more here: https://web.dev/file-system-access/#accessing-files-optimize...