If you’re like many data practitioners who use Snowflake, odds are you’ve had moments when your queries got slow… at precisely the time everyone was desperate to get answers fast. Or maybe your compute expenses were through the roof during peak times, leaving you wondering: “How do I make Snowflake faster and smarter without going broke?”
I’ve been there. And after so many performance tuning sessions, trawling slow queries, crawling QUERY_HISTORY, and analyzing patterns across multiple environments, I’ve gathered 13 battle-tested techniques that can really make a difference to your Snowflake performance, saving time, cutting costs, and improving overall query efficiency.