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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
This is a pretty realistic balanced real-world benchmark of web frameworks (and languages): https://www.techempower.com/benchmarks/
It shows that Python with Djang is literally 40 times slower than the fastest framework. Python with uvicorn is 10 times slower.
The use of languages like Python and Ruby literally results in >10x the servers being used; which not only results in higher cost, but also greater electricity use, and pollution and carbon emissions if the grid where the data center uses fossil fuels.
Not to mention, dynamically-typed languages are truly horrible from a code readability point of view. Large code bases are IMO incomprehensible, hard to debug, and more prone to bugs, without static types. I'm aware that Elixir is dynamically-typed, but it (along with JS) is an exception in terms of speed. Most dynamically-typed languages are quite slow. Not only do dynamically-typed languages damage the environment as they're typically an order of magnitude slower, they also lower developer productivity, and damage the robustness and reliability of the software written in it. To be clear, I'm in favor of anything that increases productivity. If Kotlin were 10 times slower, I'd be happy to pay that price, since its genuinely a great language to work with, is statically typed, and developers are more productive in it.
