Adaptive Warehouses Fall Short on Predictable ETL—Why Snowflake Teams Are Reverting to Standard

Snowflake's Adaptive warehouse, designed for variable and unpredictable workloads, underperformed on steady ETL pipelines where query patterns remain consistent and concurrency is predictable. The 3.4% query queue rate under Adaptive versus near-zero with Standard reveals a critical mismatch—newer features don't universally outperform well-tuned alternatives. This case study highlights how workload characteristics, not feature novelty, should drive warehouse architecture decisions.