sql.js VS WatermelonDB

Hi HN! A friend and I were inspired by projects like https://github.com/sql-js/sql.js and the idea of querying files served over CDN with HTTP range requests. We started thinking: what would a database that was specifically designed for this type of use case look like? So we started building one, and we landed on a functional prototype that we're pretty proud of!

With our prototype, Appendable, we're able to serve and query large (GB+) datasets by hosting them on a static file host like Amazon S3 or Cloudflare R2 without running a separate server and worrying about things like tail latency, replication, and connection pooling -- all that is handled for us by the file hoster.

Additionally, one tenet that we have been following is Appendable won't touch your underlying data, so your jsonl file is preserved and we point at that data instead of consuming it into an Appendable-specific file format. This keeps your data yours and makes it easy to introspect the data: just open it up with your favorite editor aka vim.

We're curious what you think, we're excited to build this out further to get the performance even better and add features like pubsub. Everything is open source at https://github.com/kevmo314/appendable.

Kevin and Matthew

My project is powered by sql.js, I recommend checking that out if you're interested - https://github.com/sql-js/sql.js/

Maybe you can try to use some SQL database compiled as Web Assembly Modules? Like this one for example: https://github.com/sql-js/sql.js

If you want to have persistence, then I would go with a database like Dexie, as it uses IndexedDB and has transactions. If you just want something that's in memory, you could look at Sql.js or something simple like lowdb.

not necessarily. you can host an html/js/sqlite site on github pages for free. json -> sqlite3 js -> sql

Link: https://sql.js.org

Does it work with really large files? Like, >100mb or so. I was considering making something similar but with sqlite.js [1], but the problem with it is that it loads everything in memory, so I wasn't entirely sure how it will deal with larger workloads.

[1]: https://sql.js.org/#/

Storing the notes: For storing the notes, we will use the amazing WatermelonDB package which is a popular sqlite wrapper for react-native. Instead of using the default package we will use a fork of this that uses sqlcipher instead of the regular sqlite, allowing us to encrypt the database by passing a secret key.

Because most of the libraries I evaluated (RxDB, WatermelonDB) were entirely JS oriented, by design, none could provide a positive API surface in Native code.

never tried it but there is https://github.com/nozbe/WatermelonDB

As title says, is it a good option? There'll be like 60 webp images not some high quality. Or should I add some local db instead, something like: 1. https://github.com/ammarahm-ed/react-native-mmkv-storage 2. https://github.com/Nozbe/WatermelonDB

Watermelon DB.

Significantly improved performance (a lot of optimizations were done, and state management is more scalable by relying on an actual database)

Watermelondb it gives you an ORM, reactivity (when a records changes it cause UI re-render), and easy syncing with remote server, go with that if you don't know SQL that well.

More info here: https://github.com/Nozbe/WatermelonDB/issues/1254

Or WatermelonDb: https://nozbe.github.io/WatermelonDB/