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Customer Stories

Real Rabbit results on enterprise BigQuery estates

Engineering and data teams using Rabbit cut BigQuery costs by 41–52%, reclaim hundreds of engineering hours per month, and get continuous optimization that keeps working after the first win.
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$100M+

saved for customers

32%

average BigQuery cost reduction

400+

engineering hours reclaimed per month on average

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

Hear it from the teams

What teams say after using Rabbit

On-camera stories from engineering and FinOps leaders at Nordstrom and Lufthansa Group — full case studies below.

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
Proven Success

All customer stories

From fast-growing marketplaces to global enterprises: teams running BigQuery at every scale use Rabbit.

Enterprise retail
Nordstrom

47%

BigQuery spend reduction

Nordstrom automated slot tuning, reservations, and ongoing optimization across hundreds of BigQuery projects — without slowing a single pipeline.

Read the case study
Aviation
Lufthansa Group

52%

BigQuery spend reduction

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

Read the case study
Consumer marketplace
Karrot

41%

recurring monthly BigQuery savings

Daangn, operator of Karrot, was running millions of queries a day with hundreds of thousands in unnoticed monthly slot waste. Rabbit made it visible — and eliminated it.

Read the case study
Logistics / Tech
Ninja Van

$83K

monthly cost reduction

Ninja Van optimized GKE node pools and reduced infrastructure waste with Rabbit's rightsizing recommendations across their Google Cloud environment.

Read the case study
Developer tools
Bitrise

$2K

saved on day one

Bitrise connected Rabbit after a cloud migration and saved $2K on their first day. That immediate result kicked off broader optimization across their data infrastructure, improving performance and bringing cost visibility to the whole team.

Read the case study
Your turn

32%

average BigQuery cost reduction across customers

Most teams see results within their first month. Get a personalised savings estimate in seconds — no commitment required.

Calculate your savings
Enterprise retail
Nordstrom

47%

BigQuery spend reduction

Nordstrom automated slot tuning, reservations, and ongoing optimization across hundreds of BigQuery projects — without slowing a single pipeline.

Read the case study
Aviation
Lufthansa Group

52%

BigQuery spend reduction

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

Read the case study
Consumer marketplace
Karrot

41%

recurring monthly BigQuery savings

Daangn, operator of Karrot, was running millions of queries a day with hundreds of thousands in unnoticed monthly slot waste. Rabbit made it visible — and eliminated it.

Read the case study
Logistics / Tech
Ninja Van

$83K

monthly cost reduction

Ninja Van optimized GKE node pools and reduced infrastructure waste with Rabbit's rightsizing recommendations across their Google Cloud environment.

Read the case study
Developer tools
Bitrise

$2K

saved on day one

Bitrise connected Rabbit after a cloud migration and saved $2K on their first day. That immediate result kicked off broader optimization across their data infrastructure, improving performance and bringing cost visibility to the whole team.

Read the case study
Your turn

32%

average BigQuery cost reduction across customers

Most teams see results within their first month. Get a personalised savings estimate in seconds — no commitment required.

Calculate your savings
Trusted by engineering teams at
Nordstrom logoLufthansa Group logoAXA logoBell logoRakuten logoBreuninger logoNinjavan logoTrivago logoKarrot logoResearchGate logo
Nordstrom logoLufthansa Group logoAXA logoBell logoRakuten logoBreuninger logoNinjavan logoTrivago logoKarrot logoResearchGate logo

Start optimizing your BigQuery estate

See similar results in your environment. Book a 30-minute demo, we'll show you exactly where your BigQuery spend is going and what Rabbit could do about it.

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Running BigQuery at enterprise scale?

See how Rabbit fits

FAQ

The data collection period lasts about one week after connecting Rabbit. Most teams see meaningful savings within their first month. That timeline varies with estate size and which optimizers you enable first, but results are not deferred to a quarterly review.

Rabbit's always-on optimizers (slot tuning, reservation management, pricing model routing, storage billing, and SQL) run continuously, so savings adapt as workloads change rather than decay after a first pass. Nordstrom has accumulated $1M+ in cumulative savings. The platform adjusts automatically; you don't need to re-tune manually.

Customers range from fast-growing marketplaces like Daangn (millions of queries a day) to global enterprises like Nordstrom (hundreds of BigQuery projects) and Lufthansa Group. Most use BigQuery Editions with slot reservations, though Rabbit also helps on-demand teams find where a reservation commitment would reduce spend.

Rabbit works across scales. Bitrise, a developer-tools company, saved $2K on day one — not a Nordstrom-sized estate. The optimizers that deliver the largest savings (reservations, slot tuning, pricing model routing) benefit any team with consistent BigQuery spend, not only those running hundreds of projects.

By default, Rabbit only surfaces recommendations; your team decides what to apply. Always-on automation (slot tuning, reservation management, storage billing) is opt-in per optimizer. SQL rewrites ship as reviewable pull requests when you enable Recommendation Applier. Nothing changes in production without your approval path.

No. Rabbit reads only metadata: BigQuery INFORMATION_SCHEMA, Billing Export, Cloud Asset Inventory, and Monitoring Metrics. It never touches query results, table contents, or PII. Rabbit is ISO 27001 and SOC 2 Type II certified, with a dedicated single-tenant GCP project per customer.
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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

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audited

ISO 27001
certified

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