The only pure-play BigQuery FinOps

Halve your
BigQuery bill.

Biq Blue is the only FinOps tool built exclusively for Google BigQuery. Not a multi-cloud dashboard. Not a generic spend tracker. Storage mode, reservations, clustering, Bi-Engine: every recommendation is BigQuery-native.

Try Biq Blue Watch demo →
Use Biq Blue where you work
Biq Blue Savings — acme-data · biq.blue ×
+
← →
🔒 acme-data.biq.blue/savings
Biq Blue

Savings

Compute −$23,977/mo

Move 249,887 queries of app-live-prod from on-demand to slot reservations.

Use Pick API →
Compute −$12,046/mo

Run project-big-mama, metabase-prod, app-green-lake, app-sea-lion in an autoscaling reservation.

Setup reservation →
Alerting −$5,049/mo

Be alerted to cost anomalies within the hour before they spiral.

Enable alerts →
Storage −$2,092/mo

Switch 3 datasets from logical to PHYSICAL storage billing.

Switch storage →
Storage −$1,286/mo

Switch 56 datasets to the least expensive billing model.

Optimize storage →
Storage −$196/mo

Delete 24 unused tables totaling 1.8 TiB not queried in 90+ days.

Review tables →

Trusted by data teams at

NIQ Sunday HelloWork Carbonfact Silvr Tortilla

What Biq Blue does

01

Built for BigQuery only

No other warehouse, no detour. Every recommendation speaks fluent slots, reservations, Bi-Engine, logical vs physical storage.

02

Specific, not generic

Not "optimize your queries." Exactly which 24 tables to drop, which 9,539 queries to move to reservations.

03

Stay in your house

Biq Blue only reads INFORMATION_SCHEMA. Your data never leaves your BigQuery project. Ever.

Pure-play advantage

Every query, every byte, every dollar.

Because we only do BigQuery, we see what multi-cloud tools miss. Break down spend by service, user, project, label, or reservation, and find the one scheduled job that's quietly costing you $1,400 a month.

On-demand Reservation Bi-Engine
FebMarAprMay JunJulAugSep

Recommendations

Tells you what to do, not what's wrong.

Every recommendation comes with an exact savings number, the queries or tables affected, and a one-line action. No dashboards to interpret.

Use slot reservations −$858/mo

These 9,539 queries of app-live-prod would be $858 cheaper using flat-rate instead of on-demand.

Explore queries →
Delete unused tables −$196/mo

24 tables totaling 1.8 TiB have not been queried in 90 days.

Safety by design

Your data stays yours.

We only query INFORMATION_SCHEMA. All state lives in a dataset in your project. Revoke the service account and Biq Blue is gone: no export, no residue, no lock-in.

Diagram: Biq Blue reads INFORMATION_SCHEMA inside your GCP project; only metadata leaves through a service account.

From customer Slacks

What teams say.

# wrap-up-2025
Loic
Loic 2:14 PM

Wrap up 2025

In 2025, BigQuery (+ GCS, we include it since we keep a bunch of archived tables there) cost us $903K, vs $1,484K in 2024 😊 Monthly costs are now around ~$60K — we're back to December 2022 levels. Mostly thanks to @Biq 🚀

🚀 3🎉 2
# finops-slots
Herve
Herve 40 min ago

Hello, FYI — I let it run all Sunday on the slot setup and we went from $128 $118 → $38 daily on the 2 jobs (hourly/trihourly) 👏

(edited)
Olivier
Olivier 37 min ago

−$90/day, that's it ?

🙌 1
Herve
Herve 32 min ago

It's $118 above actually, $80/day → $2,400/month 👍

Nicolas
Nicolas 32 min ago

Awesome!

Herve
Herve 7 min ago

Vendor paid for itself already 👏

# reservations-rollout
Julien
Julien Dec 30, 10:43 AM

Hi @Bruno & @Nicolas, hope you had a great holiday break.

We rolled out reservations and we're tracking usage on this board: myaccount.biq.blue/analysis_reservations.html

The goal is to right-size each reservation per batch type to maximize utilization, based on overnight runs. Would it be possible to filter on today's date only, to track the reservation usage ratio and check the caps are optimal?

🙏 1
Nicolas
Nicolas Dec 30, 11:15 AM

Hi @Julien, thanks! Hope you had a great break too 🎄

Solid work on your end! What you saved by switching to reservations is on-demand cost − reservation cost:

(266+315+12+55+37) − (117+131+5+10+5)
= 685 − 268 = $417/week

=> You'll save around $1,200/month, or $14,000/year 💥

# reservations-zoom
Nicolas
Nicolas 2:14 PM

If we zoom in here, moving 1,172 on-demand queries ($62) onto the reservation ($10) is 6× cheaper — that's $1,500/month less 🥳

🎉 2
Manon
Manon 2:18 PM

It's beautiful 😍

# alerting
Romain
Romain Apr 2, 4:48 PM

@Nicolas Good news — you just helped us avoid a nice $$$ incident thanks to alerting 🙏

(edited)
🙌 1
Nicolas
Nicolas Apr 2, 4:51 PM

Very cool! Maybe we'll put that line in future testimonials haha

Romain
Romain Apr 2, 4:51 PM

not unhappy I set up alerting this morning 😂😅

✅ 1
# cost-precision
Xavier
Xavier 4:27 PM

💰 More precision on the costs → it's really better 😉

🙌 1

Pricing

Billed by GCP organization. Every tier ships every feature.

01

Start

For small teams

€150

Flat, per month · 1–30 BigQuery user(s)*

Start trial
  • Web SaaS access
  • MCP for agents access
  • Precise audit by a Biq Blue expert
  • Dedicated account rep + Slack channel
  • 1 month free trial
  • Cancel anytime
02

Business

The popular choice

€6

Per user*, per month · 30+ BigQuery user(s)

Start trial
  • Web SaaS access
  • MCP for agents access
  • Precise audit by a Biq Blue expert
  • Dedicated account rep + Slack channel
  • Per-user scaling
  • 1 month free trial
  • Cancel anytime
03

Business 1Y

Best value

€4.20

Per user*, per month · 12-month commit, paid upfront

Talk to us
  • Web SaaS access
  • MCP for agents access
  • Precise audit by a Biq Blue expert
  • Dedicated account rep + Slack channel
  • Per-user scaling
  • −30% upfront discount
  • 1 month free trial

Prices shown exclude applicable tax. Plans and prices are subject to change.

* A "user" is a distinct Google BigQuery user_email active during the month.

FAQ

How does Biq Blue work?

It cross-references job, table, reservation and storage data from INFORMATION_SCHEMA to produce precise savings recommendations.

Does Biq Blue access my data?

No. Only the INFORMATION_SCHEMA views and a dedicated dataset in your project. Nothing leaves your house.

What permissions does Biq Blue need?

Four minimal roles — three read-only org-wide, one write-access on a single dataset we create in your project.

On your main project · BigQuery Data Editor (on the dedicated Biq Blue dataset only)
At organization / folder / project level · BigQuery Metadata Viewer · BigQuery Resource Viewer · BigQuery Job User

That's all. No data access, no admin, no billing. Revoke the service account and we're gone.

Will my bill really go down?

Our customers generate −40% average savings within the first two weeks.

Start saving this month.

30-minute setup. First month free. No credit card.

Book a demo