Google BigQuery Data Clean Rooms
Google BigQuery Data Clean Rooms is a data clean room product integrated with Google's cloud data warehouse · google.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
AWS Clean Rooms is first at 19%.
Snowflake Data Clean Rooms is first at 27%. 0 of 14 models made it the first choice when asked directly.
Snowflake Data Clean Rooms is first at 52%.
Why models recommend it
“Google Cloud BigQuery offers companies the ability to set up and oversee data clean rooms with $300 in complimentary credits”Claude Haiku 4.5 · Budget-constrained question · alternative
“BigQuery offers the most cost control with its pay-as-you-go model and free credits”Kimi K2 · Budget-constrained question · alternative
“the best choice is usually AWS Clean Rooms or Google Cloud BigQuery Clean Rooms”GPT-5.4 mini · Budget-constrained question · alternative
“Teams already working in BigQuery | A BigQuery-sharing-based approach”GPT-6 Luna · Comparative question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as Google BigQuery Data Clean Rooms, over the 40 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 32 | 10 | View → | |
| 28 | 13 | View → | |
| 21 | 7 | View → | |
| 21 | 5 | View → | |
| 18 | 2 | View → | |
| 16 | 1 | View → | |
| 15 | 0 | View → | |
| 13 | 2 | View → | |
| 11 | 0 | View → | |
| 11 | 0 | View → |
What the models named instead of Google BigQuery Data Clean Rooms →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Google BigQuery Data Clean Rooms's own site, not checked by Gane.
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Also from Google
- Adometry, Attribution 360, BigQuery, Firebase, Google ADH, Google Ad Manager and 83 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 37 of the 40 answers that named Google BigQuery Data Clean Rooms and are not a share of its labels.
Domains cited
121 of the 133 domain citations in answers naming Google BigQuery Data Clean Rooms came from a third party's page. Twelve were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |