What are you talking about. Spark isn't even used, and TPC DS is not a funky calculation at all. It's supposed to be a collection of typical datawarehouse type queries. Although I'm not really sure what funky means, but why would Spark trounce Snowflake on "funky" calculation at all. Do you mean an ML algorithm, and are you implying that TPC-DS has anything close to an ML Algorithm? And why would Snowflake perform better on returning one row, they are columnar stored.