3 categories · RankedSnowflake Data Clean Rooms
Snowflake Data Clean Rooms is a data clean room product from Snowflake · snowflake.com ↗
Leads at enterprise. Ranked 5 of 80 for small business buyers.
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%.
Ranked first, contested: Amazon Marketing Cloud has 17%. 11 of 14 models made it the first choice when asked directly.
Ranked first. Next is Decentriq at 10%.
Why models recommend it
“For 90% of mid-market B2B companies, the pragmatic choice is to start with your primary Cloud Data Warehouse's native DCR (typically Snowflake DCR or Databricks Clean Rooms)”Gemini 3.5 Flash · Direct question · first choice
“AWS Clean Rooms or Snowflake Data Clean Rooms offer the best balance of capability, scalability, and cost-effectiveness for mid-market B2B companies”Kimi K2 · Direct question · first choice
“start with Google BigQuery Data Clean Rooms or Snowflake's free trial. Both offer low barriers to entry, scalable pricing, and robust features.”MiniMax M2.5 · Budget-constrained question · first choice
“If you are already on Snowflake → Snowflake Data Clean Rooms is the lowest friction, no-license-fee option for B2B data collaborations.”Muse Glimmer 30B · Direct question · first choice
What gives them pause
“Avoid Snowflake, LiveRamp, InfoSum, or Decentriq unless their additional identity, collaboration, or compliance capabilities justify contract and integration costs”Perplexity Sonar · Budget-constrained question · warning
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: ... enterprise-grade in pricing and complexity”DeepSeek V4 Flash · Paraphrase question · warning
“it isn't cost-free: usage and compute are billed, and data providers need Enterprise Edition”GPT-6 Luna · Budget-constrained question · warning
“End-of-life concerns... "do not currently support data subject consent management."”Kimi K2 · Negative question · warning
Also on the shortlist
The products named in the same answers as Snowflake Data Clean Rooms, over the 173 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 139 | 19 | Compare → | |
| 91 | 5 | Compare → | |
| 90 | 3 | Compare → | |
| 86 | 12 | Compare → | |
| 72 | 1 | Compare → | |
| 68 | 13 | Compare → | |
| 63 | 4 | View → | |
| 51 | 1 | View → | |
| 46 | 4 | Compare → | |
| 32 | 4 | View → |
What the models named instead of Snowflake Data Clean Rooms →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Snowflake Data Clean Rooms's own site, not checked by Gane.
- Headquarters
- San Mateo, United States
- Founded
- 2012
- Also from Snowflake Data Cloud
- Snowflake Data Clean Room
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 158 of the 173 answers that named Snowflake Data Clean Rooms and are not a share of its labels.
Domains cited
389 of the 547 domain citations in answers naming Snowflake Data Clean Rooms came from a third party's page. Fifty-seven 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 | 2 | 0 | 0 | 0 | 2 |
| GPT-5.4 mini | 1 | 3 | 2 | 0 | 6 |
| Gemini 3.5 Flash | 2 | 6 | 0 | 0 | 8 |
| Perplexity Sonar | 1 | 1 | 0 | 1 | 3 |
| Grok 4.20 | 3 | 2 | 1 | 0 | 6 |
| Mistral Small | 1 | 1 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 3 | 2 | 0 | 1 | 6 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 2 | 0 | 2 | 1 | 5 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 3 | 1 | 0 | 0 | 4 |
| GPT-6 Luna | 2 | 1 | 1 | 1 | 5 |
| Muse Glimmer 30B | 1 | 3 | 1 | 0 | 5 |