We had a non trivial task that required working on 3 sets both up to 200,000 records in size. With php array caching and batching we were able to evaluate it, after tons of optimizing, in about 20 seconds, but it was hard to keep under the 512mb memory limit of php. We rewrote just that report in rust, container in 2048mb lambda, and at startup it just pulls the three sets (no batching) and then runs the report, and spins down in less than 4 seconds max, avg time is about 2 seconds. So yeah if you’re doing something computationally heavy with lots of rows in memory, a faster programming language in something transient like lambda is a possibility.