Data clean rooms · November 2026 Edition
InfoSum vs LiveRamp Clean Room
One of fourteen models named InfoSum first on the direct prompt; zero named LiveRamp Clean Room. InfoSum was named by fourteen of the fourteen models and LiveRamp Clean Room by thirteen and InfoSum carries 38 labels and LiveRamp Clean Room 35, so the shares are not directly comparable.
Named in three categories this edition.
By LiveRamp, San Francisco, United States, founded 2011. Named in one category this edition.
First-choice share3%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate26%31%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 11; printed, not drawn.
Labels3835A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, InfoSum 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 InfoSum · Snowflake Data Clean Rooms vs LiveRamp Clean Room · Amazon Marketing Cloud vs InfoSum
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.
InfoSumFirst choices, of fourteen modelsLiveRamp Clean Room
Direct102 against InfoSum · 1 against LiveRamp Clean Room
Paraphrase121 against LiveRamp Clean Room
Comparative11
Budget-constrained005 against InfoSum · 5 against LiveRamp Clean Room
Scale-constrained00
Negative103 against InfoSum · 4 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, InfoSum and LiveRamp Clean Room were named in the same answer sixty-eight times, of the 109 answers naming InfoSum and the 101 naming LiveRamp Clean Room. In those answers LiveRamp Clean Room took the first choice two times and InfoSum three.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where InfoSum and LiveRamp Clean Room stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | |
InfoSum LiveRamp Clean Room first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfoSum on the left and LiveRamp Clean Room on the right.The direct prompt
The plain question, one answer per model, grouped by where InfoSum and LiveRamp Clean Room stood in it.
InfoSum first, LiveRamp Clean Room not the choice
1 of 14 modelsLiveRamp Clean Room was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashDatabricks Clean Rooms, Snowflake Data Clean Rooms alternatives: Google BigQuery Data Clean Rooms, Habu, InfoSum
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
Kimi K2AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum
MiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Google Ads Data Hub
GPT-5.4 miniSnowflake Data Clean Rooms alternatives: AWS Clean Rooms
Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks 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
LiveRamp Clean Room leads by three points.
LiveRamp Clean Room3%#8 of 13InfoSum0%#12 of 13Mid-marketThe figures above
Level: the same share of first choices.
InfoSum3%#7 of 11LiveRamp Clean Room3%#8 of 11Enterprise
The order flips: InfoSum leads at enterprise.
InfoSum6%#4 of 11LiveRamp Clean Room0%#7 of 11What the models said about InfoSum
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
“Avoid enterprise platforms initially: Skip InfoSum, Habu, or LiveRamp” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid Snowflake, LiveRamp, InfoSum, or Decentriq” Perplexity Sonar · budget prompt · hard negative
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)” DeepSeek V4 Flash · negative prompt · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.” Grok 4.20 · comparative prompt · first choice
“Top Pick: InfoSum ... Highest level of security compliance” Qwen 3.7 Flash · direct 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
Snowflake Data Clean Rooms vs InfoSumSnowflake Data Clean Rooms vs LiveRamp Clean RoomAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs LiveRamp Clean RoomGoogle Ads Data Hub vs InfoSumGoogle Ads Data Hub vs LiveRamp Clean RoomAWS Clean Rooms vs InfoSumAWS Clean Rooms vs LiveRamp Clean RoomMeta Advanced Analytics vs InfoSumMeta Advanced Analytics vs LiveRamp Clean RoomDatabricks Clean Rooms vs InfoSumDatabricks Clean Rooms vs LiveRamp Clean RoomAll twenty-eight head-to-head pages and the full data clean rooms standing
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.