Are you tired of breaking the bank on Snowflake BI spend? We were too, until we discovered the power of DuckDB. As a data engineering team, we tried everything to reduce our costs – from reducing auto-suspend to aggregating warehouses, optimizing queries, and more. But nothing seemed to make a dent in our expenses. That was until we deployed a smart caching layer using DuckDB to execute small queries, leaving the larger and more complex ones for Snowflake. The results were astonishing – we saved 79% on Snowflake compute costs immediately, with an average query time speedup of 7x and a P99 query time speedup of 2x. And the best part? No changes to our SQL or migrations were needed. So, how can you achieve similar results? By hosting DuckDB on larger machines at a fraction of the cost and using the right engine for the right queries. Want to learn more about our experience and how you can save on Snowflake costs too? Check out our story and let’s discuss!
