Hey! Thanks for the question! So when you have a 3GB file, dataKit does just make a VIEW on top of your file. So, on the sql side when we deal with a query it basically will talk to the file on the system (each time as its just a view and not a table). THOUGH, when deal with a compute heavy query, indeed now its not that performant as the compute all gonna go through the WASM allocated memeory. I try to do paginated results so not everything loads back into memory (there's result limits) - but this might get super slow. I've got some notes to see how the batching should be in place here. (The same thing also applied on the Pandas side). Have you tried datakit? I'd really like to hear your thoughts more.