Identify what drives your BigQuery bill and find savings opportunities.
Find which users drive the most BigQuery spending. Query INFORMATION_SCHEMA to rank users by on-demand cost and identify optimization targets.
Read guideBreak down BigQuery costs by job labels. Attribute spending to teams, pipelines, or features using the label key-value pairs on your jobs.
Read guideAnalyze every individual query's cost, slot usage, and execution time. Get a detailed breakdown of on-demand cost per query execution.
Read guideTrack BigQuery costs across GCP projects. Use INFORMATION_SCHEMA to compare project-level spending and find the most expensive projects in your organization.
Read guideFind the most expensive BigQuery queries by on-demand cost. Rank queries by total bytes billed to identify the biggest cost drivers in your project.
Read guideIdentify the most frequently executed BigQuery queries. Find repeated queries that are candidates for caching, materialized views, or consolidation.
Read guideFind the most compute-intensive BigQuery queries ranked by slot usage. Identify queries consuming disproportionate computational resources.
Read guideFind the longest-running BigQuery queries. Identify slow queries that block resources and impact user experience with runtime analysis.
Read guideCompare on-demand, Standard, Enterprise, and Enterprise Plus pricing.
Monitor and optimize slot consumption across time granularities.
Track daily BigQuery slot consumption over time. Identify daily usage patterns and trends to right-size your slot reservations.
Read guideMonitor hourly BigQuery slot consumption to identify peak usage windows and optimize your reservation scheduling.
Read guideGet minute-level BigQuery slot consumption data. Essential for debugging performance issues and understanding burst slot demand.
Read guideSecond-level BigQuery slot consumption for detailed burst analysis. The finest granularity available for performance debugging.
Read guideUnderstand concurrent query patterns and prevent queuing bottlenecks.
Optimize table storage costs with billing model and lifecycle strategies.
Skip the manual work
CloudClerk connects to your BigQuery project and runs all of these analyses automatically — delivering AI-powered savings recommendations with your data fully anonymised.