kerkour.com VS metrics

There are plenty: - diesel - famous example of what the Rust type system can get you beyond just "memory safety". My go-to choice for most projects. Having autocomplete for my database DSL is something I find it hard to go without. But it comes at a fairly high cost of confusing, generic-heavy code. - sqlx - also a very solid choice. You write SQL queries, which are optionally checked against a database instance at compile-time. A downside I've heard repeated a lot (by some fairly reputably figures) is that sqlx adds a fairly significant overhead to queries, and according to this issue is 7-70x slower than diesel. If the performance of your database is important to you, run some benchmarks and see if it's an issue - seaorm - a relatively new ORM, and I haven't used it much, but my initial impressions were that it was a little too "magic". Maybe it just reminded me too much of Spring Boot. I'm not sure. It's probably a totally fine library - postgres (or equivalent) - you can always just skip the ORM and use the database driver directly. Pretty nice for smaller projects, but totally viable for big projects too. Just a matter of personal preference

As usual, you can find the code on GitHub: github.com/skerkour/kerkour.com (please don't forget to star the repo 🙏).

It's worth keeping an eye on Diesel's metrics suite (https://github.com/diesel-rs/metrics) as well; I found and fixed some suboptimal buffering that was affecting performance.

See here for some numbers. The relevant code lives inside the diesel github repository. Please also keep in mind that these are just numbers and you should run those these on your own and also run tests with your actual work load.

Performance is worse than in comparable frameworks

For the database part you might want to checkout a crate that's not based on sqlx as sqlx is known for providing non-optimal performance for the sqlite backend. rusqlite or diesel perform much better for this use case.

No it will likely not be less performant. See these numbers for some benchmark results for numbers. (As always with benchmarks: Please don't trust my numbers. To be sure you need to do your own benchmarks with your own use-case)

See here for some benchmark results. The benchmarks itself are in the diesel repository. Otherwise I believe there are numbers in the techempower benchmarks as well, although that includes other factors .

I'm developing a Rust web server backend in Axum that uses Postgres and performance will be pretty important since I plan to run it on one server for as long as possible. It seems like the postgres crate is about 2x faster than sqlx, and the postgres repository seems pretty active still.

Congratulations to the release. I know all of this is hard work. I would like to invite you to submit a ormlite implementation to the diesel benchmark collection. As soon as that's merged you will get regular reports here. The relevant code is here in the diesel repository.

In that case you may be interested in the metrics for different database libraries. diesel is doing rather well at the moment. sqlx is in the middle of a large rewrite that should improve performance, so we'll see how it compares after that

See here for some benchmark results for the diesel repository. Please keep in mind that as always with benchmarks, these numbers are not necessarily true for your usecase. Be sure to checkout at least the benchmark code and draw your own conclusions from there.