Benchmarks
Date Language Batch Benchmark Mean Z-Score
2021-10-05 22:59 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.264 s 1.027086
2021-10-05 23:00 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 3.248 s -2.195880
2021-10-05 23:00 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.290 s 0.061868
2021-10-05 22:59 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.115 s 1.221348
2021-10-05 23:01 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 8.303 s -1.357300
2021-10-05 23:02 Python file-read lz4, feather, table, nyctaxi_2010-01 0.673 s -0.984987
2021-10-05 23:00 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 4.925 s -1.874349
2021-10-05 23:01 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.180 s -0.771981
2021-10-05 23:02 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 7.968 s -1.602460
2021-10-05 23:01 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.049 s -0.723373
2021-10-05 23:00 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.012 s 1.236982
2021-10-05 22:59 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 3.852 s -1.566485
2021-10-05 23:00 Python file-read lz4, feather, table, fanniemae_2016Q4 0.606 s -0.617603
2021-10-05 23:02 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 8.478 s -1.659325
2021-10-05 22:59 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 3.753 s -0.981378
2021-10-05 23:01 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 8.236 s -1.047011