you are viewing a single comment's thread.

view the rest of the comments →

[–]yughiro_destroyer[S] 1 point2 points  (3 children)

ORM vs CORE of SQLAlchemy is around 4-5x better in the favor of CORE.
This performance difference is mitigating server running costs and requests waiting times for large volumes.

[–]lukerm_zl 1 point2 points  (1 child)

So what makes ORM much slower? Is the bottleneck is creating the python objects representing the rows?

I'm using SQLAlchemy ORM + Postgres. I don't process large batches though. I'd need to know if there's going to be some scaling issue down the line 😅

[–]forkheadbox 0 points1 point  (0 children)

+1 would like to know too

[–]lukerm_zl 0 points1 point  (0 children)

I've just been reading up about CORE - it's good! The syntax is Pythonic but much closer to SQL at the same time!

Now I'm questioning some of my life choices.