  Bucket sort and RADIX sort are two well-known integer sorting algorithms.
This paper measures empirically what is the time usage and memory consumption
for different kinds of input sequences. The algorithms are compared both from a
theoretical standpoint but also on how well they do in six different use cases
using randomized sequences of numbers. The measurements provide data on how
good they are in different real-life situations.
  It was found that bucket sort was faster than RADIX sort, but that bucket
sort uses more memory in most cases. The sorting algorithms performed faster
with smaller integers. The RADIX sort was not quicker with already sorted
inputs, but the bucket sort was.
