To be fair, Parquet, which is commonly used in Big Data solutions is a column store format. So, once you normalize your data and save it as Parquet you can have

To be fair, Parquet, which is commonly used in Big Data solutions is a column store format. So, once you normalize your data and save it as Parquet you can have efficient column-wise aggregation - but that assumes some preprocessing step.