Benchmarks
Date Language Batch Benchmark Mean Z-Score
2021-10-04 16:14 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 7.852 s 0.706102
2021-10-04 16:12 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.263 s 1.082575
2021-10-04 16:14 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.042 s -0.306316
2021-10-04 16:12 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 3.645 s 0.798380
2021-10-04 16:14 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.185 s -1.837390
2021-10-04 16:13 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 3.119 s 0.439696
2021-10-04 16:12 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.108 s 1.544901
2021-10-04 16:12 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 3.697 s 1.073995
2021-10-04 16:15 Python file-read lz4, feather, table, nyctaxi_2010-01 0.671 s -0.524181
2021-10-04 16:13 Python file-read lz4, feather, table, fanniemae_2016Q4 0.608 s -1.091668
2021-10-04 16:13 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.052 s -0.283441
2021-10-04 16:15 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 7.527 s 0.567845
2021-10-04 16:12 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.290 s 0.103692
2021-10-04 16:15 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 8.014 s 0.608691
2021-10-04 16:14 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 7.887 s 0.534002
2021-10-04 16:13 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 4.804 s 0.588799