Benchmarks
Date Language Batch Benchmark Mean Z-Score
2021-10-06 12:25 Python file-read lz4, feather, table, nyctaxi_2010-01 0.670 s -0.357212
2021-10-06 12:22 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 3.830 s -1.181323
2021-10-06 12:22 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.289 s 0.142333
2021-10-06 12:24 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.027 s 0.628421
2021-10-06 12:24 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.177 s -0.221643
2021-10-06 12:23 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 8.284 s -1.267237
2021-10-06 12:23 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.007 s 1.393955
2021-10-06 12:22 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.123 s 0.827440
2021-10-06 12:21 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.261 s 1.160165
2021-10-06 12:22 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 3.774 s -1.331666
2021-10-06 12:25 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 8.457 s -1.554701
2021-10-06 12:23 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 3.243 s -2.103204
2021-10-06 12:23 Python file-read lz4, feather, table, fanniemae_2016Q4 0.602 s -0.040152
2021-10-06 12:23 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 4.940 s -2.174989
2021-10-06 12:24 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 8.335 s -1.501319
2021-10-06 12:25 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 7.979 s -1.653165