Benchmarks
Date Language Batch Benchmark Mean Z-Score
2021-10-04 14:02 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.179 s -0.537836
2021-10-04 14:01 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 4.804 s 0.225227
2021-10-04 14:02 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 7.876 s 1.233155
2021-10-04 14:03 Python file-read lz4, feather, table, nyctaxi_2010-01 0.671 s -0.404936
2021-10-04 14:00 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 3.731 s -0.481051
2021-10-04 14:01 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.290 s 0.013688
2021-10-04 14:02 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.065 s -1.643580
2021-10-04 14:00 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.147 s -0.934821
2021-10-04 14:01 Python file-read lz4, feather, table, fanniemae_2016Q4 0.603 s -0.264618
2021-10-04 14:01 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.035 s 0.061849
2021-10-04 14:00 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 3.685 s -1.309596
2021-10-04 14:02 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 7.870 s 1.193402
2021-10-04 14:03 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 7.475 s 1.403450
2021-10-04 14:00 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.276 s 0.136211
2021-10-04 14:01 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 3.112 s 0.207079
2021-10-04 14:03 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 8.003 s 1.217212