datahike 2024-06-25

Hehe. Data loss is unacceptable obviously and as far as I know has only occurred in experiments so far. Datahike supports 1 billion+ datoms at approx. steady transaction performance. Queries will get slower depending on result size, but should also be approx. steady for fixed result sizes. (where result sizes here refers also to intermediate relations)

@yeefay.lim has documented some of our CSV import benchmark results here https://github.com/replikativ/mesalog?tab=readme-ov-file#tldr

The CSV had 35 million rows, inserting over 1 billion datoms in 10 hours runtime on a server machine.

💥 3

This is really good to know.

I can keep going then 💪

@alekcz360 if you are worried about anything in particular lmk.