4 ms·

This isn’t the 90s. Most hardware is way over-specced for the data sizes most people are dealing with. The number of use cases which are too heavy to finish in

This isn’t the 90s. Most hardware is way over-specced for the data sizes most people are dealing with. The number of use cases which are too heavy to finish in hours but small enough to fit in a single instance is pretty limited.

fifilura 3y ago
SQL is popular because it can be run on a map/reduce backend. So once you have written your code it can run on any number of machines.
- threeseed 3y ago
  a) SQL is not that popular on map/reduce backends. Most people are doing it in code. b) Only basic SQL works on any database and even then there are major differences in how they treat things like nulls, type coercion etc.
  - fifilura 3y ago
    BigQuery? Athena/Redshift?
ako 3y ago
Costs are another reason to optimize queries, long running, inefficient queries will be a lot more expensive on things like snowflake than more efficient queries.