Search Optimization can enable significant cost savings when selectively applied to workloads that heavily rely on point-lookup queries. By improving lookup efficiency, it allows smaller warehouses to satisfy performance SLAs, reducing credit consumption. However, inefficiencies arise when: Search Optimization is not enabled on critical lookup-heavy tables, forcing oversized warehouses. It is enabled unnecessarily on infrequently queried data, adding avoidable costs. Warehouse sizing is not adjusted after Search Optimization is implemented, missing the primary cost-saving opportunity. Regular review of query patterns and warehouse sizing is essential to maximize the intended benefit of Search Optimization.
Additional storage charges for maintaining Search Optimization metadata. Ongoing background compute charges for index maintenance. Opportunity for warehouse downsizing to offset costs if utilized effectively.
Enable Search Optimization selectively on columns supporting frequent, high-value point-lookup queries After enabling Search Optimization, reassess and right-size warehouses where feasible. Remove Search Optimization from tables or columns with low query activity to eliminate unnecessary storage and maintenance costs. Periodically audit Search Optimization configurations against evolving workload patterns and business needs.
