There's value in both types of analyses. For knowing what users do after they perform action "A", "B" & "C", many people currently rely on implementing Map/Redu

There's value in both types of analyses. For knowing what users do after they perform action "A", "B" & "C", many people currently rely on implementing Map/Reduce programs. That can be a bit heavyweight if you want to simply compare people who did action "A" or "B", filter based on complex criteria, or apply simple analytic functions. Also, apart from standard relational algebra operators, SQL provides a lot of convenience functions for math operations, string manipulations, date and time formatting, pattern matching, and so forth. These may come in handy to users who want to quickly gather insights out of their data.