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Doing in-database computation can be very advantageous for some applications, and writing those functions in Rust would be fantastic for some uses, not least for the library ecosystem. I did some work on video similarity search with in-DB search which would've certainly benefited.

DB performance also comes from size efficiency of user-defined data types, user-defined operator functions (typically for use with those user-defined data types), etc.

Smaller, more efficient types directly translate to less disk usage and smaller indexes, both of which measurably improve database performance.

I assume PL/pg is not behind the curve in relation to PL/SQL and T-SQL for UDTs.

> DB performance, comes from indexes , table partitioning and in-memory tables and to compile query execution plans, so you save some time the very first you run a procedure

The network round trip to the database can also be a pretty significant performant penalty, especially when iterating over large sets.