Put BigQuery optimization on autopilot
Rabbit continuously tunes cost and performance across every BigQuery project and team, and applies one consistent policy at scale so standards do not drift as your estate grows. Recommendations by default. Automation runs only inside the guardrails you set.
Manual tuning does not scale across your BigQuery estate
Slot priorities, commitment coverage, and storage settings drift out of policy team by team, with no single owner keeping them consistent. Contention and cost spikes become reactive scrambles because nobody catches the drift before it hits the bill.
Automated optimization, engineering guardrails, and drift visibility at scale
Rabbit gives engineers and their coding agents clear cost and performance insights in the workflow, so wasteful SQL never reaches production. Recommendations by default; automation only inside the policies you set.
How Rabbit helps
Automated optimization, engineering guardrails, and drift visibility at scale
Automate
01
Continuous tuning across every project, without a bigger team.
Build
02
Guidelines and guardrails in every engineering workflow.
Observe
03
See drift before your stakeholders do.
Results that hold up at scale
At Nordstrom, Rabbit's slot optimizer alone cut BigQuery spend by 47% across hundreds of BigQuery projects, and automation reclaimed 400+ engineering hours a month that used to go into manual tuning.
47%
BigQuery spend reduction
$1M+
cumulative savings
400hrs+
engineering hours reclaimed monthly
At Lufthansa Group, reservation planning and automated slot tuning combined for a 52% total reduction in BigQuery costs.
52%
BigQuery spend reduction
30%
savings from autoscaler automation
32%
reservation planning savings