No. Column oriented storage db’s make it fast to read 10s to billions of “rows”, usually when you have data that you want to read that can be independent of oth

No. Column oriented storage db’s make it fast to read 10s to billions of “rows”, usually when you have data that you want to read that can be independent of other columns. Ex: (stock close) - row storage isn’t going to buy you much here, you’d rather read the whole “stock close” column as fast as possible. Whereas traditional db’s, data like [first name, last name], the columns may have way less meaning on their own and you need both columns to have the data make sense. A traditional db with B(-)tree storage is much slower when dealing with that type of usage. Storing (stock close) in a single column format makes that type of query much faster.