Although "wide" data is touted as a optimization guideline for Nimble, how well does it fare against "normal"(?) data, i.e. with just a few to tens of columns?
It seems to be optimized towards ML where sequential scan is the access pattern. so it wouldn't be suitable for analytical workloads yet, though they are planning on working on that.
It seems to be optimized towards ML where sequential scan is the access pattern. so it wouldn't be suitable for analytical workloads yet, though they are planning on working on that.