The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first, contested: Crossbeam has 17%.
Snowflake Data Clean Rooms is first at 27%. 2 of 14 models made it the first choice when asked directly.
Snowflake Data Clean Rooms is first at 52%.
“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
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)”DeepSeek V4 Flash · Negative question · first choice
“Best for AWS Users: AWS Clean Rooms ... Pay-as-you-go (no upfront platform fees or monthly SaaS subscriptions)”Gemini 3.5 Flash · Budget-constrained question · first choice
“I'd usually recommend AWS Clean Rooms if you already run a decent amount of your data stack on AWS”GPT-5.4 mini · Paraphrase question · first choice
“AWS Clean Rooms charges for query compute, so budget for usage rather than assuming it's a free tool”GPT-6 Luna · Budget-constrained question · warning
The products named in the same answers as AWS Clean Rooms, over the 154 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 139 | 41 | Compare → | |
| 85 | 5 | Compare → | |
| 82 | 13 | Compare → | |
| 78 | 4 | Compare → | |
| 64 | 13 | Compare → | |
| 58 | 0 | Compare → | |
| 57 | 4 | View → | |
| 47 | 2 | View → | |
| 37 | 2 | Compare → | |
| 28 | 1 | View → |
What the models named instead of AWS Clean Rooms →
A side-by-side page exists where both products are among a category's top eight.
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 →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 147 of the 154 answers that named AWS Clean Rooms and are not a share of its labels.
No domain is on file for AWS Clean Rooms, so its own site is not marked. Fifty-four 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 are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 0 | 0 | 0 | 2 |
| GPT-5.4 mini | 2 | 2 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 1 | 3 | 0 | 0 | 4 |
| Perplexity Sonar | 0 | 3 | 1 | 0 | 4 |
| Grok 4.20 | 1 | 4 | 1 | 0 | 6 |
| Mistral Small | 0 | 2 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 2 | 4 | 0 | 0 | 6 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 1 | 1 | 2 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 3 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 3 | 0 | 1 | 4 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 2 |