This is a great question. The short answer is IO patterns: because the data is stored as Parquet in object storage just knowing that a certain page/row group/file has the data you are looking for is only half of the battle. If you then have to download MBs of JSON to then extract that one value from that one row things will still be slow. Shredding allows the data to be accessed independently, in addition to unlocking encoding (delta, ALP, etc.).
In practice we do both: we have key presence indexes and zone maps on shredded and unshredded values. Then we go an grab the data and if it's shredded it's going to be faster to grab even once we know where it is.
In practice we do both: we have key presence indexes and zone maps on shredded and unshredded values. Then we go an grab the data and if it's shredded it's going to be faster to grab even once we know where it is.