See what's driving your BigQuery bill — and how to cut it
Rabbit gives engineering and data teams full visibility into their BigQuery spend, and automates the optimization work that usually falls on engineers. We help teams save 30-50% on BigQuery costs while boosting performance.
Get a live overview of how Rabbit helps BigQuery teams cut waste, improve performance, and take back engineering time
Share your team's biggest cost challenges and see exactly how Rabbit addresses them
Leave with a clear picture of the savings potential for your specific environment and workloads
Enterprise-grade security and compliance.
Request a demo of Rabbit

Connor Jackson
EMEA
Cory Mills
North America (West)
Stewart Bryson
North America (East)Customer Stories
How teams reduce cloud waste and improve efficiency with Rabbit
Nordstrom
Key results47% reduction in BigQuery spend: from Rabbit's slot optimizer alone — real savings, not modeled projections.
Slot waste reduced from 57.3% to 18.6%: a 38.7% improvement in reservation efficiency.
400 engineering hours reclaimed per month: previously consumed by manual SQL tuning and cost diagnostics.
$1M+ in cumulative savings: delivered by Rabbit's BigQuery automation.
Master BigQuery costs with enterprise-scale control
Request a demo$50,068,110 saved with Rabbit Automation
Rabbit automatically reduces BigQuery costs by an average of 32% while freeing up your engineering team.
Why teams choose Rabbit
Automate cost optimization
No more manual tuning. Rabbit identifies waste and optimizes reservations and slot usage in real-time, automatically cutting costs.
Maximize performance
Peak performance at minimal cost. Rabbit tunes queries, workloads, and storage for predictable bills without compromising speed.
Boost engineering efficiency
No engineering time wasted. Rabbit delivers cost-focused code reviews and ready-to-merge optimization PRs, fully automatically.
Drive consistent BigQuery cost and performance at scale
Request a demoFAQ
- Billing Export – to display and calculate resource costs, including any custom pricing agreements.
- Cloud Asset Inventory – to identify and list all resources across your environment.
- BigQuery Information Schema – to perform detailed analysis of BigQuery usage and query efficiency.
- Monitoring Metrics View – to monitor resource utilization and performance trends.
- Projects and Folders Metadata – to reflect your GCP project and folder hierarchy within Rabbit for filtering, reporting, and access control.