Data clean rooms · October 2026 Edition
InfoSum vs Google Ads Data Hub
One of fourteen models named InfoSum first on the direct prompt; zero named Google Ads Data Hub. InfoSum was named by fourteen of the fourteen models and Google Ads Data Hub by twelve and InfoSum carries 39 labels and Google Ads Data Hub 28, so the shares are not directly comparable.
Named in three categories this edition.
Google Ads Data Hub
accepted challengerBy Google, Mountain View, California, United States, founded 1998. Named in one category this edition.
First-choice share10%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 10; printed, not drawn.
Labels3928A 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 eleven of the fourteen direct answers. Snowflake Data Clean Rooms vs InfoSum · Snowflake Data Clean Rooms vs Google Ads Data Hub · AWS Clean Rooms 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 modelsGoogle Ads Data HubDirect103 against InfoSum
Paraphrase501 against InfoSum
Comparative001 against InfoSum
Budget-constrained054 against InfoSum
Scale-constrained01
Negative005 against Google Ads Data Hub
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 October 2026 Edition, InfoSum and Google Ads Data Hub were named in the same answer forty-four times, of the 119 answers naming InfoSum and the 72 naming Google Ads Data Hub. In those answers Google Ads Data Hub took the first choice eight times and InfoSum one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where InfoSum and Google Ads Data Hub stood in it.
| Model | DirectGA | ParaphraseGA | ComparativeGA | Budget-constrainedGA | Scale-constrainedGA | NegativeGA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | GA | |||||
| GPT-5.4 mini | GA | |||||
| Gemini 3.5 Flash | GA | | GA | GA | GA | |
| Perplexity Sonar | | | | |||
| Grok 4.1 Fast | | | GA | |||
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | GA | GA | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | GA | | ||||
| Kimi K2 | | | GA | |||
| GLM 4.7 FlashX | GA | | GA | GA | ||
| MiniMax M2.5 | | GA | ||||
| GPT-6 Luna | GA | GA | ||||
| Muse Glimmer 30B | GA | | GA |
InfoSumGA Google Ads Data Hub first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfoSum on the left and Google Ads Data Hub on the right.The direct prompt
The plain question, one answer per model, grouped by where InfoSum and Google Ads Data Hub stood in it.
InfoSum first, Google Ads Data Hub not the choice
1 of 14 modelsGoogle Ads Data Hub was named in the answer but not as the choice, or not at all.Mistral SmallInfoSum alternatives: Decentriq, Habu, LiveRamp Clean Room
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashCrossbeam alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room
Grok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Decentriq, InfoSum, LiveRamp Clean Room
GLM 4.7 FlashXSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: Apollo.io
GPT-5.4 miniAWS Clean Rooms alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms
DeepSeek V4 FlashOptable alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms
Llama 4 MaverickAmazon Marketing Cloud
Qwen 3.7 FlashLiveRamp Clean Room alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk
Kimi K2Optable alternatives: Habu, Snowflake Data Clean Rooms
MiniMax M2.5Amazon Marketing Cloud alternatives: Deciq
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room
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
Google Ads Data Hub leads by eight points.
Google Ads Data Hub8%#3 of 12
InfoSum0%#11 of 12Mid-marketThe figures above
Level: the same share of first choices.
InfoSum10%#4 of 10Google Ads Data Hub10%#5 of 10
The full mid-market standing →Enterprise
The order flips: InfoSum leads at enterprise.
InfoSum11%#3 of 9Google Ads Data Hub0%#9 of 9
The full enterprise standing →What 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.
“Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.1 Fast · budget prompt · hard negative
“pricing and complexity are often overkill for mid-market needs” DeepSeek V4 Flash · direct prompt · hard negative
“like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible, as licensing fees for these platforms often run in the tens or hundreds of thousands of dollars annually” Gemini 3.5 Flash · budget prompt · soft negative
“InfoSum – Praised for its flexible collaboration capabilities and suitability for mid-market needs, without requiring enterprise-scale resources.” Mistral Small · direct prompt · first choice
“I would recommend InfoSum as a privacy-safe data collaboration platform for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“I would recommend InfoSum if your priority is privacy-safe data collaboration with partners” Perplexity Sonar · paraphrase prompt · first choice
What the models said about Google Ads Data Hub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Platform-owned environments such as Google Ads Data Hub, Amazon Marketing Cloud and Meta’s PET-based collaborations are widely adopted but raise lock-in, portability and conflict-of-interest questions.” Muse Glimmer 30B · negative prompt · soft negative
“Google Ads Data Hub and Amazon Marketing Cloud can be useful for analysis within their respective ecosystems, but don’t assume they provide a neutral view across all media.” GPT-6 Luna · negative prompt · soft negative
“Walled garden DCRs are incredibly powerful, but only within their own ecosystems. They are plagued by severe vendor lock-in.” Gemini 3.5 Flash · negative prompt · soft negative
“Crawl (The Low-Risk Start): Start with walled gardens. If 60% of your ad budget goes to Google or Amazon, set up Google Ads Data Hub or Amazon Marketing Cloud.” Gemini 3.5 Flash · scale prompt · first choice
“start with the free walled-garden options (Google, Amazon, Meta) depending on where you advertise most” MiniMax M2.5 · budget prompt · first choice
“If ad-focused, begin with free walled-garden DCRs (AMC/Google)—they solve 80% of needs without spend.” Grok 4.1 Fast · budget prompt · first choice
Also compared
Snowflake Data Clean Rooms vs InfoSumSnowflake Data Clean Rooms vs Google Ads Data HubAWS Clean Rooms vs InfoSumAWS Clean Rooms vs Google Ads Data HubAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs Google Ads Data HubInfoSum vs DecentriqInfoSum vs Databricks Clean RoomsInfoSum vs HabuGoogle Ads Data Hub vs DecentriqGoogle Ads Data Hub vs Databricks Clean RoomsGoogle Ads Data Hub vs HabuAll 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.