The original RDBMS vision was very explicitly for the users (both developers and analysts) to not have to be experts in their own database in order to achieve u

The original RDBMS vision was very explicitly for the users (both developers and analysts) to not have to be experts in their own database in order to achieve useful work, and without needing to think about procedural/3GL code from the get-go. In the intervening years query optimization has gotten a lot better, and hardware shifts have only worked in favour of this vision, but there's still a lot of work to be done before databases are truly "self-driving": https://www.cs.cmu.edu/~pavlo/blog/2018/04/what-is-a-self-driving-database-management-system.html https://www.cs.cmu.edu/~pavlo/blog/2018/04/what-is-a-self-dr... Until that's the case I can understand why people are tempted to bypass this traditional RDBMS wisdom, especially if they have a very strong conception about their data models, access patterns, and need for scale (e.g. see also Red Planet Labs 'Rama').