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Enterprise BigQuery optimization

The autonomous engine for BigQuery

Rabbit tunes BigQuery cost and performance together, so you cut costs, run faster, and spend less time tuning.
Book a demoTry it free

32%

average BigQuery cost reduction

400hrs+

engineering hours reclaimed monthly

$50M+

saved for customers

SOC 2 Type II
audited

ISO 27001
certified

Google Cloud
Marketplace

Google Cloud
Partner

SOC 2 Type II audited

ISO 27001 certified

Google Cloud Marketplace

Google Cloud Partner

Trusted for enterprise BigQuery optimization
Nordstrom logoLufthansa Group logoAXA logoBell logoRakuten logoBreuninger logoNinjavan logoTrivago logoKarrot logoResearchGate logo
Nordstrom logoLufthansa Group logoAXA logoBell logoRakuten logoBreuninger logoNinjavan logoTrivago logoKarrot logoResearchGate logo
The challenge

BigQuery never stands still. Manual tuning can't keep up.

Queries slow down. Slots contend. Reservations drift. Most PRs ship SQL that runs longer and costs more than it should. Dashboards show last month's bill.

Sparkle icon for automation illustrationThe Solution

Rabbit catches cost and performance drift early, and acts automatically within your guardrails.

bigquery optimization platform

How Rabbit works

One platform for the full BigQuery lifecycle. Cost and performance improve together, automatically.

Brain illustration

Automate

01

Lower spend without slowing the workloads that matter.

Always-on optimizers for slots, pricing, storage, reservations, caching, and SQL.

28% average BigQuery cost reduction

Learn more

Observe

02

See cost and performance drift as it happens.

Cost anomaly detection, slot contention alerts, and slow-query flags, before users complain.

Cost issues caught within hours, not days

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Build

03

Catch expensive SQL before it ships.

Cost-aware review on every PR, context for engineers and AI agents in the IDE, and ready-to-merge optimization PRs.

36% average cost waste caught before production

Learn more

Govern

04

Every BigQuery dollar mapped to business value.

Rightsize capacity and commitments for real demand. Set hard spend caps by user, label, or query. Attribute spend back to the business.

20-50% savings from rightsized commitments

Learn more

Automate

01

Lower spend without slowing the workloads that matter.

Always-on optimizers for slots, pricing, storage, reservations, caching, and SQL.

28% average BigQuery cost reduction

Learn more

Observe

02

See cost and performance drift as it happens.

Cost anomaly detection, slot contention alerts, and slow-query flags, before users complain.

Cost issues caught within hours, not days

Learn more

Build

03

Catch expensive SQL before it ships.

Cost-aware review on every PR, context for engineers and AI agents in the IDE, and ready-to-merge optimization PRs.

36% average cost waste caught before production

Learn more

Govern

04

Every BigQuery dollar mapped to business value.

Rightsize capacity and commitments for real demand. Set hard spend caps by user, label, or query. Attribute spend back to the business.

20-50% savings from rightsized commitments

Learn more
Explore the platform
the intelligence layer

One system for BigQuery cost and performance

Tune one lever alone and the other suffers. Rabbit connects slots, pricing, storage, reservations, and SQL so you run faster and spend less.

Brain illustration with labels: Slots, Storage space, Pricing model, Reservations, SQL Performance

Catch expensive SQL before it ships

BigQuery context on table cost and query efficiency for your coding agents. Cost and performance review on every PR. Ready-to-merge optimization PRs.

Explore agentic optimization
SQL illustration
Safety & Reliability

Safe for production BigQuery at scale

You set the guardrails. Rabbit acts on production BigQuery automatically.

Performance protected

Slot optimizers and caching never trade speed for savings.

01

Recommendations first

Automation is opt-in, per optimizer and workflow.

02

SQL validated

Rewrites are tested on synthetic data for identical results before they're proposed.

03

customer stories

Proven in enterprise environments

Measured outcomes from global enterprises running BigQuery with Rabbit.

Nordstrom logo

47% less spend. Production workloads protected.

Rabbit automated slot tuning, reservations, and ongoing optimization across Nordstrom's hundreds of BigQuery projects, without slowing pipelines.

47%

BigQuery spend reduction

400hrs+

engineering hours reclaimed monthly

$1M+

cumulative savings

Read the case study
How Nordstrom Cut BigQuery Costs by 47% with Rabbit: 'That's Real Spend That Never Hit Our Bill.'

"Rabbit doesn't just optimize how you use BigQuery, they rethink how BigQuery billing itself can be worked in your favor."

— Bryce Ageno, Principal Software Engineer, Nordstrom

How Lufthansa Group Cut BigQuery Costs by 50% with Rabbit

"Rabbit helped us to reduce the BigQuery costs by 50%, which is great because BigQuery cost is one of our biggest cost drivers in the project."

— Kunal Walia, Principal Solution Architect, Lufthansa Group

Lufthansa Group logo

52% less BigQuery spend. Reservations and autoscaler tuned together.

Lufthansa Group cut their BigQuery costs in half with Rabbit's Reservation Planner and automated autoscaler optimization.

52%

BigQuery spend reduction

30%

savings from autoscaler automation

32%

reservation planning savings

Read the case study
solutions

For the teams that run BigQuery

Same platform. Different priorities. Pick the path that matches your role.

Data Platform Leaders

Put BigQuery optimization on autopilot. Predictable performance, controlled spend, less manual tuning.
Learn more

Data Engineers

Ship faster pipelines. Fewer contention fire drills. Cost- and performance-aware reviews on every change.
Learn more

FinOps & Finance

Rightsize capacity for demand. Catch anomalies early. Attribute every dollar to the business.
Learn more

Enterprise-ready

Global teams trust Rabbit to run high-performance BigQuery at scale.

Rabbit for enterprise
SOC 2ISO 27001EU & US data residencyRead-only, metadata onlySSO / SAMLRBAC

SOC 2 Type II
audited

ISO 27001
certified

Google Cloud
Marketplace

Google Cloud
Partner

See what Rabbit would do for your BigQuery cost and performance

Start with a metadata-only assessment. See where BigQuery can run faster and cost less.

Book a demoTry it free
Calculate your savings

FAQ

Rabbit is the autonomous platform for BigQuery cost and performance. Its four feature sets (Automate, Observe, Build, and Govern) work together as one system so you cut spend, optimize performance, and reduce manual tuning. Recommendations are the default. Automation and optimization PRs run when you opt in.

Published customers include Nordstrom at 47% BigQuery spend reduction and Lufthansa Group at 52%. Across customers, Rabbit boasts an average 28% BigQuery cost reduction and $100M+ saved. Use the BigQuery Savings Calculator for an estimate, or book a demo for a metadata-only assessment of your estate.

Rabbit is one unified platform with four key feature sets (Automate, Observe, Build, Govern) all doing their part for BigQuery optimization. BigQuery levers interact, so tuning one in isolation can shift waste elsewhere. Rabbit's Observe feature set surfaces drift; Automate tunes slots, pricing, storage, reservations, caching, and SQL; Build catches expensive SQL before merge; and Govern plans commitments, caps spend, and attributes cost. Gains compound across the system.

Not by default. Rabbit starts with recommendations and insights. Always-on optimizers, Recommendation Applier PRs, and other automations are opt-in, per workflow, inside guardrails you set. Performance-protected tuning is designed so slot optimizer and caching changes do not trade speed for savings.

Dashboards explain last month's bill. Rabbit adds near real-time anomaly detection, deep cost and performance drill-downs, and continuous optimization recommendations across connected BigQuery levers, with optional automation and shift-left review in PRs and IDEs so teams act before waste compounds.

Rabbit uses a forecasting model on 90 days of historical usage and compares actual spend to expected spend. It flags spikes and linear drift, with email and optional Pub/Sub alerting. Sensitivity is tunable so teams can mark false positives as they learn what matters.

Start with a metadata-only assessment or book a demo. Rabbit connects via native GCP APIs with no agents on your infrastructure, then surfaces where BigQuery can run faster and cost less before you enable automation. Pricing is ROI-focused. Book a demo or try Rabbit free.

Yes. Rabbit is a Google Cloud Partner, listed on Google Cloud Marketplace. Procurement can transact through your existing GCP vendor relationship instead of onboarding a new vendor, and the cost appears as a single line item on your GCP bill that counts toward committed Google Cloud spend.
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Get in touch to start saving

We help data teams cut BigQuery costs by 32% on average and see exactly where every slot hour goes.
The autonomous engine for BigQuery cost and performance
Book a demoTry it free

SOC 2 Type II
audited

ISO 27001
certified

Google Cloud
Marketplace

Google Cloud
Partner

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