Benchmarks
Date Language Batch Benchmark Mean Z-Score
2021-10-06 14:38 Python file-read lz4, feather, dataframe, nyctaxi_2010-01 8.010 s -1.807350
2021-10-06 14:35 Python file-read snappy, parquet, table, fanniemae_2016Q4 1.126 s 0.664890
2021-10-06 14:36 Python file-read uncompressed, feather, dataframe, fanniemae_2016Q4 4.935 s -2.084947
2021-10-06 14:36 Python file-read lz4, feather, dataframe, fanniemae_2016Q4 3.244 s -2.124678
2021-10-06 14:37 Python file-read uncompressed, parquet, dataframe, nyctaxi_2010-01 8.323 s -1.445854
2021-10-06 14:35 Python file-read uncompressed, parquet, dataframe, fanniemae_2016Q4 3.848 s -1.487722
2021-10-06 14:37 Python file-read snappy, parquet, dataframe, nyctaxi_2010-01 8.318 s -1.424225
2021-10-06 14:38 Python file-read uncompressed, feather, dataframe, nyctaxi_2010-01 8.489 s -1.712635
2021-10-06 14:36 Python file-read uncompressed, parquet, table, nyctaxi_2010-01 1.038 s 0.267263
2021-10-06 14:35 Python file-read uncompressed, feather, table, fanniemae_2016Q4 2.293 s -0.390311
2021-10-06 14:37 Python file-read uncompressed, feather, table, nyctaxi_2010-01 1.176 s 0.087358
2021-10-06 14:35 Python file-read uncompressed, parquet, table, fanniemae_2016Q4 1.287 s 0.060028
2021-10-06 14:35 Python file-read snappy, parquet, dataframe, fanniemae_2016Q4 3.772 s -1.287911
2021-10-06 14:36 Python file-read lz4, feather, table, fanniemae_2016Q4 0.601 s 0.147457
2021-10-06 14:37 Python file-read snappy, parquet, table, nyctaxi_2010-01 1.033 s 0.296926
2021-10-06 14:38 Python file-read lz4, feather, table, nyctaxi_2010-01 0.673 s -0.897312