-
-
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.
-
When I discovered Raku (still perl6 at that point) for the first time back in late 2017, the performance... well, let's just say it wasn't very good. What about now? Are there any significant improvements? Does it have at least perl5's performance? raku.org says some people even use it in production, which is very good, but I don't know what specifically they use it for. Is it suitable for writing web services (not some internal stuff, but serious services capable of handling big number of simultaneous requests), for example?
One big change since 2017 is extensive profiling tools. (For now, afaik, the smoothest way to use them in an up-to-date manner integrated with an IDE is to use the commercial version of Comma. Alternatively, install a stand-alone version (likely older) from here.)
Node is already fast and Python can be too using things like Numba http://numba.pydata.org/ If the Raku array implementation could get as fast as Numpy+Numba in the next decade I would be quite surprised. Mostly because no one is going to do that work, not that it would be necessarily prohibitively challenging to do. I wouldn't underestimate what popularity, money and a large user base does provide those other languages. Unless you're already aware of all this? The competition have already "won" Raku is catching up to the finish line with respect to performance.