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That seems a bit misleading of a comparison IMO and only one case (JSON serialisation) when I look at their data. It's also showing a lot of frameworks that are not that mature and not well used in the Java camp vs ASP.NET that is widely used, full featured, has a lot of bells and whistles and a lot of plugins available for most technologies and standards. All of which could have negatively influenced performance, even the hooks to allow them to be injected in can do so even if not enabled. The fact that a full featured web framework makes it to the top over several rounds I can't discount as pretty good.
https://www.techempower.com/benchmarks/#section=data-r20&hw=...
My personal experience having worked on both platforms for several years is that Java is easier to get to an acceptable performance, but the .NET runtime when you have to put the effort in has a higher bound of performance. It just has more tools in the CLR to work with than the JVM (e.g. value types, proper generics, spans, and more). With .NET Core and future versions I think .NET is also taking up Java's default perf area as well.
> - Use LINQ cautiously as its variants are mostly slower than explicit coding. E.g. .Any() vs .Count == 0
Is this really true for the example? To me it seems that the implementation for .Any actually uses .Count when available, see https://github.com/dotnet/runtime/blob/main/src/libraries/Sy...
> Software benchmarks are super subjective.
No, they are not, but they are just a measurement tool, not a source of absolute thruth. When I studied engineering at ETH we learned "Who measures measures rubbish!" ("Wer misst misst Mist!" in German). Every measurement has errors and being aware of these errors and coping with it is part of the engineering profession. The problem with programming language benchmarks is often that the goal is to win by all means; to compare as fairly and objectively as possible instead, there must be a set of suitable rules adhered to by all benchmark implementations. Such a set of rules is e.g. given for the Are-we-fast-yet suite (https://github.com/smarr/are-we-fast-yet).
The library benchmarked in the article is Stl.Fusion: https://github.com/servicetitan/Stl.Fusion. I've only learned about it today, and the documentation is a bit messy, but that seems to be a really interesting project. The author describes it as a .Net library to quickly develop efficient, distributed, real-time web applications.
Ownership by Microsoft isn't great either, unless you enjoy jumping through hoops to disable their telemetry[1].
[1] https://github.com/dotnet/sdk/issues/6145
I use it for structured logging, which makes filtering and searching very convenient. E.g. I can filter by an object’s id and a property to see which tasks change the property of that specific object and in what order. Serilog[0] and Seq[1] are the best tools for this in my opinion.
[0] https://github.com/serilog/serilog
[1] https://datalust.co/seq