Updated with @zhangliye’s code. R’s feather implementation is quite a bit faster than Julia’s. This can probably be improved. Actually data.table’s fwrite is actually very very fast and is competitive with fst.
@davidanthoff Looks like CSV.jl has a reasonably fast reader, on par with Pandas and data.table, in this case which is reading in 1m rows with 9 columns of mixed string, float and integer types. I am interested to test this out on a largish real-world dataset e.g. Fannie Mae to see how it stacks up, last time I tried it it didn’t compare so favourably.