Benchmarks
Date Lang Batch Benchmark Mean Z-Score Error
2022-11-15 21:08 Python file-write uncompressed, feather, table, fanniemae_2016Q4 4.990 s 0.205
2022-11-15 21:06 Python file-write uncompressed, parquet, dataframe, fanniemae_2016Q4 19.181 s 1.463
2022-11-15 21:12 Python file-write uncompressed, feather, dataframe, nyctaxi_2010-01 3.369 s 1.062
2022-11-15 21:07 Python file-write snappy, parquet, table, fanniemae_2016Q4 10.394 s 0.267
2022-11-15 21:12 Python file-write lz4, feather, table, nyctaxi_2010-01 1.765 s -0.765
2022-11-15 21:09 Python file-write uncompressed, feather, dataframe, fanniemae_2016Q4 13.368 s 1.537
2022-11-15 21:12 Python file-write lz4, feather, dataframe, nyctaxi_2010-01 2.737 s 1.626
2022-11-15 21:09 Python file-write lz4, feather, table, fanniemae_2016Q4 1.562 s -0.420
2022-11-15 21:11 Python file-write uncompressed, feather, table, nyctaxi_2010-01 1.992 s -0.850
2022-11-15 21:10 Python file-write lz4, feather, dataframe, fanniemae_2016Q4 10.358 s 1.526
2022-11-15 21:05 Python file-write uncompressed, parquet, table, fanniemae_2016Q4 10.055 s 0.342
2022-11-15 21:11 Python file-write snappy, parquet, dataframe, nyctaxi_2010-01 8.993 s 1.184
2022-11-15 21:10 Python file-write uncompressed, parquet, table, nyctaxi_2010-01 5.603 s 0.626
2022-11-15 21:11 Python file-write snappy, parquet, table, nyctaxi_2010-01 7.523 s 0.874
2022-11-15 21:08 Python file-write snappy, parquet, dataframe, fanniemae_2016Q4 19.495 s 1.457
2022-11-15 21:10 Python file-write uncompressed, parquet, dataframe, nyctaxi_2010-01 7.059 s 1.304