AWS Clean Rooms
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data clean rooms | GTM data and infrastructure | 15% | 2 of 100 | 7% | 42 | accepted challenger |
Movement
By model
How each model treated AWS Clean Rooms across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 2 | 2 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 1 | 2 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 4 | 0 | 0 | 4 |
| Grok 4.20 | 1 | 3 | 1 | 1 | 6 |
| Mistral Small | 2 | 0 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 1 | 6 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 0 | 2 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 1 | 2 | 0 | 0 | 3 |
| MiniMax M2.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-6 Luna | 2 | 2 | 0 | 0 | 4 |
| Muse Glimmer 30B | 1 | 1 | 0 | 0 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“AWS Clean Rooms is often the safer default because the pricing is usage-based and there's no separate license to buy just to get started” GPT-5.4 mini · Data clean rooms · budget prompt · first choice
“AWS Clean Rooms is the top recommendation for most small businesses due to its pay-as-you-go pricing and free tier” Mistral Small · Data clean rooms · budget prompt · first choice
“Already on AWS → AWS Clean Rooms pay-as-you-go is the most budget-friendly entry point, no big upfront investment.” Muse Glimmer 30B · Data clean rooms · budget prompt · first choice
“highlight cloud-native ones like AWS/Snowflake for lower barriers—ideal for mid-market avoiding heavy IT builds” Grok 4.20 · Data clean rooms · direct prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Pay-per-use (CRPU-hours); no free tier; costs can escalate quickly” Kimi K2 · Data clean rooms · budget prompt · hard negative
“Cloud-based (e.g., AWS Clean Rooms, Snowflake, Databricks) | Strong infrastructure, but integration complexity and variable TCO” Grok 4.20 · Data clean rooms · negative prompt · soft negative
“Snowflake and AWS Clean Rooms get reasonable marks when properly configured — but watch for the cost/complexity pitfalls” DeepSeek V4 Flash · Data clean rooms · negative prompt · soft negative
Named alongside
The products named in the same answers as AWS Clean Rooms, over the 142 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AWS Clean Rooms was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 136 of the 142 answers that named AWS Clean Rooms and are not a share of its labels.
Domains cited
No domain is on file for AWS Clean Rooms, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where AWS Clean Rooms stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 720 a month (“aws clean rooms”)
- AI search demand for its name, est.
- 4 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This edition- First choices
- 30 across its categories
- Named in
- 142 answers
- Its own site cited
- No site on file to match
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Follow AWS Clean Rooms
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when AWS Clean Rooms's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as AWS Clean Rooms, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for AWS Clean Rooms by email, built from the raw record of the edition. It shows:
- where AWS Clean Rooms is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name AWS Clean Rooms, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where AWS Clean Rooms is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
AWS Clean Rooms is among the products AI models recommend first in Data clean rooms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.