How to compare distribution of 2 continuous variable datasets

i want to compare 2 datasets and check for their similarity. I have tried statistical tests like ks test , z test but they gave a p value of 0.0 for most columns. I then read ks test won't work because the dataset size is huge and it will exaggerate even slight differences. Then I tried bhattacharya distance, helinger distance but the probability values are coming 0.01 (which is correct since it is continuous variable) . I am trying to compare density i derived from seaborn.distplot...not able to get good result. Can someone please suggest something :(