So far, we have been focusing on smaller dataset sizes, such as 10,000 rows by 100 columns, but everything scales linearly (both query processing and offline inference) so you could use it for larger datasets too. The current version is all in memory, though, so you're limited there.

Right now you must import data from csv, so no images, and you must do all preprocessing of your data before loading it in. We hope to add more and more of this kind of functionality in later releases. I'd love to hear suggestions! I recommend trying out the VM installation if you want to quickly play around with it.