pandas vs modin in concate datasets system: i5-6400 24gb ram 2400mhz samsung 860 evo ssd gtx 10603gb import time import pandas as pd s = time.time() esea_master_dmg_demos_1 = pd.read_csv("esea_master_dmg_demos.part1.csv") df = pd.concat([esea_master_dmg_demos_1 for _ in range(5)]) e = time.time() print("Pandas Loading Time = {}".format(e-s)) Pandas Loading Time = 36.65340209007263 del esea_master_dmg_demos_1 del df import modin.pandas as pd s = time.time() esea_master_dmg_demos_1 = pd.read_csv("esea_master_dmg_demos.part1.csv") df = pd.concat([esea_master_dmg_demos_1 for _ in range(5)]) e = time.time() print("Modin Loading Time = {}".format(e-s)) Modin Loading Time = 7.940576076507568