2025-11-16 - BigQuery Archiving Cost Optimization¶

Release¶

AgileData.io - Reduced Costs: Optimized View Archiving Strategy

We’ve optimized how views are archived in BigQuery to significantly reduce costs. When archiving views, the system now creates empty placeholder tables instead of copying view query results, potentially saving thousands of dollars in unnecessary query execution costs.

Archiving is an important part of managing your data lifecycle, but it shouldn’t cost a fortune. Previously, when archiving views, the system would execute the view’s query to create an archive snapshot—which could be expensive for complex views joining large datasets. The new approach recognizes that views are already defined by their SQL and creates efficient empty table references instead.

What’s New:

Smart view archiving that creates empty tables instead of executing expensive queries
Significant cost reduction for projects with many views or complex view logic
Preserved view definitions without unnecessary query execution
Optimized archiving process that completes faster
Particular benefit for projects with large-scale data models

What this means for you:

Dramatically lower BigQuery costs related to archiving operations
Faster archiving processes that don’t wait for large queries to complete
More sustainable long-term data management practices
Better cost predictability for projects with extensive view usage
Freed-up budget to spend on actual data processing instead of archiving overhead

Last Refreshed¶

Doc Refreshed: 2025-11-16