I've been working with C# for most of my career, almost 25 years, since .Net 1.0. One of the huge things that I love about Rust is the lack of a runtime framework. I don't need to figure out how to bundle / ship / install a framework at runtime.
(I also like Cargo better than Nuget, but that's a very subjective opinion.)
Which leads to probably the biggest tradeoff:
> Typhon is an embedded...
It's probably hard, (or impossible) to use Typhon outside of the dotnet ecosystem. Granted, it's been years (since the 1.0 days) since I built a .dll that a native application could pull in, there are complications when you "impose" dotnet into an application that isn't dotnet. These don't happen when your library is 100% native, which you get with C/C++/Rust.
> JIT warmup is real. The first call to any method pays the compilation cost. In a database engine, the first transaction after startup shouldn’t be 100x slower than the steady state.
Correct me if I'm wrong but isn't it what aot was supposed to solve?
In the section “Hardware-accelerated WAL checksums” he explains how the JIT compiles away the hardware support stuff depending on the exact capabilities of the system its on. With AOT you don’t get this - it’s way more coarse like x64 vs ARM
AOT is a little fussy in real-world usage particularly for things like reflection. You can probably force it to work but it may make your code much uglier.
Span<T> is more important for performance TBH JIT warmup isn't a huge issue for a long-running process
Flip side is that if you use more source generation, it may end up making the code more terse/"prettier" where it matters and avoid the reflection hit.
AI agents seem fairly good at generating source generators so there doesn't seem to be a reason to not use them.
Only a subset of reflection is actually AoT safe, and you can run into issues like "the method you wanted to call wasn't statically referenced anywhere, so there is no compiled implementation of it".
Also worth mentioning are VeloxDB and RavenDB, both written in C#. TBF, I haven't used any of them... but aware they exist.
C# is pretty powerful and capable of lower level usage, such as in the examples given... not to mention a pretty nice interop with C-style libraries. It looks like the intent here might be a custom database engine for service integrations... not necessarily a full rdbms in and of itself.
I would be less worried about the GC pause, than the need to reserve some memory for garbage collection. Any reduction in available memory is going to tend to mean a hit to performance.
That seems great, I have seen a few similar dbs written in java that say the same thing, that when written correctly you can get the perf very close to C, but at that point you are just writing C with a different syntax. You don't win on any in the security guarantees, so at that point can we just not build everything in wasm and then we can interface it from both dotnet and the jvm?
My guess is because .NET AoT is not yet optimized and mature enough as JIT. This is known and is on the agenda of Microsoft but it will take time to get there.
It wasn't discussed, so we're left to speculate. If I had to guess, I imagine that the .NET JIT has actual benefits: the variety of architectures has gotten enormous and JIT is likely a performance win after warmup.
C# is a great language with almost unlimited power and great ergonomics (as the article shows), but the .NET CLR (runtime) is a bit overcomplicated with a distinct "Java smell", and packaging and distribution is still meh.
If they could make the developer experience similar to Go, it would rule the world...
I actually really like the CLR developer experience next to java ngl. I reach for C# in lieu of java (less J2EE SingletonBeanFactoryManagerInstance slop) but particularly F# is pretty nice to use. Haskell has bad tooling, OCaml is getting better thanks to JaneStreet (and if OxCaml gets wide adoption unboxed types are a big perf win) but if nothing else lack of a Rider-esque debugger is just a big time sink.
I drank the Go kool-aid, then tried to do some high performance things the Go way: didn't work (channels are slow) and I got over it. Still think Go is great for web backends and the like with production grade stdlib.
Am amused that someone feels compelled to justify writing a db in C#. Such conscientiousness!
I'm not sure authors of Cassandra, ElasticSearch, MongoDB (and more...?) ever had the slightest twinge of uncertainty about whether a managed memory env would cause far more problems than it fixed, even with less native tooling than in C#. Java bros DGAF