This is so fast!!
If anybody is using Pandas to keep rows in order and has hesitated to use DuckDB for that reason, hesitate no more! Give it a shot!
[0]: https://news.ycombinator.com/item?id=24669902 [1]: https://news.ycombinator.com/item?id=27878401 [2]: https://news.ycombinator.com/item?id=26825096 [3}: https://news.ycombinator.com/item?id=26588029 [4]: https://news.ycombinator.com/item?id=26476649 [5]: https://news.ycombinator.com/item?id=24534795 [6]: https://news.ycombinator.com/item?id=24534721 [7]: https://news.ycombinator.com/item?id=24338671
I've just come up through the SQL side of analytics and I'm moving into Data Science and I feel like DuckDB is a superpower for people with my background.
Does that help? Happy to answer any other questions!
It's not unusual for happy, unaffiliated users to post enthusiastically, or even evangelise a bit, about the software they love most.
Case in point, I often pop up in TimescaleDB threads to sing it's praise regarding real-world usage, but I'm not affiliated with the TimescaleDB folks in any way.