litefs-js VS dqlite

Fly[1] uses it

1: https://fly.io/blog/introducing-litefs/

Check this series of articles out: 1, 2, 3, 4, 5, 6, 7.

Also worth mentioning Fly.io's work on LiteStream [1] and LiteFS [2] giving SQLite important S3 DR/reliability & multi-node replication and scalability opens SQLite up to even more use-cases.

We're making use of this ourselves in https://blazordiffusion.com which runs entirely on SQLite, using Litestream to replicate it to Cloudflare's R2 object storage which is running on a single Hetzner US Cloud VM at €13 /mo.

As we believe SQLite + Litestream is a very cost effective solution that can support a large number of App's data requirements we've added first-class support to add SQLite + Litestream support in our Project templates [3] which uses GitHub Actions to run Docker compose App deployments along with setting up Litestream replication to AWS S3, Azure Blob Storage and SFTP in a sidecar container that also includes support running DB Migrations on Server with Rollback on failure. If anyone's looking to do something similar, the GitHub Actions that enable this are being maintained at [4].

[1] https://litestream.io

[2] https://fly.io/blog/introducing-litefs/

[3] https://docs.servicestack.net/ormlite/litestream

[4] https://github.com/ServiceStack/mix/tree/master/actions

If you're interested in this, here are some related projects that all take slightly different approaches:

- LiteSync directly competes with Marmot and supports DDL sync, but is closed source commercial (similar to SQLite EE): https://litesync.io

- dqlite is Canonical's distributed SQLite that depends on c-raft and kernel-level async I/O: https://dqlite.io

- cr-sqlite is a Rust-based loadable extension that adds CRDT changeset generation and reconciliation to SQLite: https://github.com/vlcn-io/cr-sqlite

Slightly related but not really (no multi writer, no C-level SQLite API or other restrictions):

- comdb2 (Bloombergs multi-homed RDMS using SQLite as the frontend)

- rqlite: RDMS with HTTP API and SQLite as the storage engine, used for replication and strong consistency (does not scale writes)

- litestream/LiteFS: disaster recovery replication

- liteserver: active read-only replication (predecessor of LiteSync)

I'd be curious for a similar tuning with Dqlite: https://github.com/canonical/dqlite

Anyone knows how the DB this is about, https://rqlite.io/, compares with https://dqlite.io/ by Canonical (both seem to be distributed versions of sqlite)?

For folks' context, the new tool that's being discussed in the thread mentioned by the parent here is litefs [0], as well as which you can also look at rqlite [1] and dqlite [2], which all provide different trade-offs (e.g. rqlite is 'more strongly consistent' than litefs).

[0]: https://github.com/superfly/litefs

[1]: https://github.com/rqlite/rqlite

[2]: https://github.com/canonical/dqlite

I presume you're familiar with https://github.com/canonical/dqlite (made by my employer) and https://github.com/rqlite/rqlite (unrelated)? How will mvsqlite compare to those?

Check out dqlite, it's sqlite but with a raft consensus to distribute changes through a log: https://dqlite.io/ You can link it in as a library too, it sounds like exactly what you want.