ga-extractor VS pyperformance

ga-extractor – Tool for extracting Google Analytics data suitable for migrating to other platforms/databases

There's also no need to be scared of self-hosting the analytics engine yourself. Many of the open-source solutions can be spun up in matter of minutes and require very little resources to run. Even data migration can be quite simple as you've seen earlier in this article. If that's the route you want to go, but the extractor tool presented here doesn't support the target platform you'd like to migrate to, or you have some feedback to share, then feel free to create and an issue in GitHub repository and I will definitely try to help out.

PyPerformance benchmark: https://github.com/python/pyperformance

25% number is from pyperformance benchmark suite, which you can replicate. Whether pyperformance is representative benchmark suite is another question.

https://github.com/python/pyperformance

For each combination, We launch a GCC container and build Python with the GCC. Then run benchmarks using pyperformance and export to a JSON file.

pyperformance – Python Performance Benchmark Suite

There are some standard benchmarks like fannkuch, deltablue, and so on (see a bunch for Python here) that you can port to your VM. They have adjustable values that you can raise or lower to increase or decrease the amount of time you take.

So I decided to run some actual benchmark suite. I found pyperformance which would seem to do the trick.