Your BigQuery Bill Is Too High. Let's Fix That.
We've helped companies reduce BigQuery costs by 30-50% without sacrificing performance. Slot optimization, query tuning, and FinOps best practices that deliver ROI in weeks.
Why Your BigQuery Costs Are Out of Control
These are the exact issues we find in 90% of BigQuery environments.
Full Table Scans
Queries scanning entire tables when they only need a fraction. No partitioning, no clustering, no cost awareness.
No Slot Management
On-demand pricing for predictable workloads. No reservations, no autoscaling, no cost caps.
Redundant PDTs
Multiple PDTs computing the same data. No shared caching strategy. Every dashboard rebuilds from scratch.
SELECT * Everywhere
Queries pulling all columns when only a few are needed. Bytes processed = money spent.
No Cost Visibility
You don't know which queries, users, or dashboards are driving costs. No attribution, no accountability.
BI Engine Not Configured
Missing out on sub-second queries and reduced compute costs. Free performance left on the table.
Typical Results
What our clients achieve after BigQuery optimization.
How We Reduce Your Costs
A comprehensive approach to BigQuery FinOps.
Partitioning & Clustering
Restructure tables to minimize bytes scanned. Proper partitioning can reduce query costs by 90%.
Slot Optimization
Right-size your slot reservations. Flex slots for variable workloads. Autoscaling for cost efficiency.
Query Optimization
Rewrite expensive queries. Eliminate unnecessary joins. Use approximate functions where appropriate.
BI Engine Configuration
Enable and configure BI Engine for sub-second dashboard queries and reduced compute costs.
Cost Monitoring
Custom dashboards showing cost by project, user, query, and dashboard. Attribution and accountability.
Materialization Strategy
PDTs, materialized views, scheduled queries. The right caching layer for each use case.
BigQuery Cost FAQs
Ready to Cut Your BigQuery Costs?
Book a free 30-minute cost audit. We'll analyze your current usage and identify quick wins.