CTAS cost management

DWH.dev automatically identifies all CREATE TABLE AS SELECT (CTAS) operations and links them to their corresponding compute cost using data from Snowflake’s QUERY_HISTORY. Each CTAS execution is associated with its target object, warehouse, and runtime metadata — allowing DWH.dev to estimate and attribute the credit consumption of transformation pipelines.

Costs are calculated based on the warehouse type used during execution (e.g., XSMALL, MEDIUM) and the runtime duration recorded in QUERY_HISTORY. In native Marketplace deployments, this data is enriched with compute-pool utilization metrics, providing a unified view of both warehouse and pool-level resource usage.

Used for

• Identifying the most expensive CTAS transformations across your pipelines.

• Tracking warehouse utilization and compute-pool credit consumption.

• Optimizing task schedules and warehouse configurations to reduce recurring costs.

• Highlighting redundant or rarely used CTAS operations.