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Data clean rooms · November 2026 Edition

AWS Clean Rooms vs LiveRamp Clean Room

Two of fourteen models named AWS Clean Rooms first on the direct prompt; zero named LiveRamp Clean Room. AWS Clean Rooms was named by fourteen of the fourteen models and LiveRamp Clean Room by thirteen and AWS Clean Rooms carries 48 labels and LiveRamp Clean Room 35, so the shares are not directly comparable.

AWS Clean Rooms

accepted challenger

Named in two categories this edition.

LiveRamp Clean Room

criticized challenger

By LiveRamp, San Francisco, United States, founded 2011. Named in one category this edition.

First-choice share11%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%31%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 11; printed, not drawn.
Labels4835A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, AWS Clean Rooms reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms was named alongside these two in thirteen of the fourteen direct answers. Snowflake Data Clean Rooms vs AWS Clean Rooms · Snowflake Data Clean Rooms vs LiveRamp Clean Room · Amazon Marketing Cloud vs AWS Clean Rooms

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data clean rooms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AWS Clean RoomsFirst choices, of fourteen modelsLiveRamp Clean Room
Direct201 against LiveRamp Clean Room
Paraphrase121 against LiveRamp Clean Room
Comparative11
Budget-constrained301 against AWS Clean Rooms · 5 against LiveRamp Clean Room
Scale-constrained10
Negative104 against LiveRamp Clean Room
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, AWS Clean Rooms and LiveRamp Clean Room were named in the same answer seventy-eight times, of the 154 answers naming AWS Clean Rooms and the 101 naming LiveRamp Clean Room. In those answers LiveRamp Clean Room took the first choice four times and AWS Clean Rooms sixteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where AWS Clean Rooms and LiveRamp Clean Room stood in it.
ModelDirectACParaphraseACComparativeACBudget-constrainedACScale-constrainedACNegativeAC
Claude Haiku 4.5ACAC
GPT-5.4 miniACACACAC
Gemini 3.5 FlashACACAC
Perplexity SonarACACAC
Grok 4.20ACACACACAC
Mistral SmallACAC
DeepSeek V4 FlashACACACACACAC
Llama 4 MaverickAC
Qwen 3.7 FlashACAC
Kimi K2ACAC
GLM 4.7 FlashXAC
MiniMax M2.5ACACAC
GPT-6 LunaACACACAC
Muse Glimmer 30BACAC
AC AWS Clean Rooms LiveRamp Clean RoomAC first choiceAC named as an alternativeAC argued againstblank: not namedEach cell is one answer, AWS Clean Rooms on the left and LiveRamp Clean Room on the right.

The direct prompt

The plain question, one answer per model, grouped by where AWS Clean Rooms and LiveRamp Clean Room stood in it.

AWS Clean Rooms first, LiveRamp Clean Room not the choice

2 of 14 modelsLiveRamp Clean Room was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Google Ads Data Hub
Kimi K2AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniSnowflake Data Clean Rooms alternatives: AWS Clean Rooms
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean Room
Grok 4.20Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Cloud BigQuery or Ads Data Hub, LiveRamp Clean Room
Mistral SmallSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, LiveRamp Clean Room
DeepSeek V4 FlashSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, LiveRamp Clean Room
Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
MiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashDatabricks Clean Rooms, Snowflake Data Clean Rooms alternatives: Google BigQuery Data Clean Rooms, Habu, InfoSum
Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution
GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
AWS Clean Rooms leads by sixteen points.
AWS Clean Rooms19%#1 of 13
LiveRamp Clean Room3%#8 of 13
The full small business standing →
Mid-marketThe figures above
AWS Clean Rooms leads by eight points.
AWS Clean Rooms11%#4 of 11
LiveRamp Clean Room3%#8 of 11
The full mid-market standing →
Enterprise
AWS Clean Rooms leads by six points.
AWS Clean Rooms6%#3 of 11
LiveRamp Clean Room0%#7 of 11
The full enterprise standing →

What the models said about AWS Clean Rooms

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“AWS Clean Rooms charges for query compute, so budget for usage rather than assuming it's a free tool” GPT-6 Luna · budget prompt · soft negative
“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 prompt · first choice
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)” DeepSeek V4 Flash · negative prompt · 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 prompt · first choice

What the models said about LiveRamp Clean Room

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid Standalone SaaS Clean Rooms Initially... the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI.” Gemini 3.5 Flash · budget prompt · hard negative
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: These are powerful but enterprise-grade in pricing and complexity.” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Why Avoid Traditional Vendors Right Now? ... these are likely out of budget for a limited-fund operation.” Qwen 3.7 Flash · budget prompt · hard negative
“LiveRamp and OneTrust are the top recommendations due to their strong privacy safeguards, scalability, and industry adoption” Mistral Small · paraphrase prompt · first choice
“Top Recommendation: LiveRamp ... It is the industry standard for identity resolution and secure data exchange.” Qwen 3.7 Flash · paraphrase prompt · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.” Grok 4.20 · comparative prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.