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Data clean rooms · October 2026 Edition

Google Ads Data Hub vs Decentriq

Zero of fourteen models named Google Ads Data Hub first on the direct prompt; zero named Decentriq. Google Ads Data Hub was named by twelve of the fourteen models and Decentriq by twelve and both carry 28 labels, so the shares below are directly comparable.

Google Ads Data Hub

accepted challenger

By Google, Mountain View, California, United States, founded 1998. Named in one category this edition.

Decentriq

accepted challenger

Named in one category this edition.

First-choice share10%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 10; printed, not drawn.
Labels2828Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Google Ads Data Hub 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 Google Ads Data Hub · Snowflake Data Clean Rooms vs Decentriq · AWS Clean Rooms vs Google Ads Data Hub

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.
Google Ads Data HubFirst choices, of fourteen modelsDecentriq
Direct001 against Decentriq
Paraphrase02
Comparative00
Budget-constrained502 against Decentriq
Scale-constrained10
Negative015 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, Google Ads Data Hub and Decentriq were named in the same answer twenty times, of the 72 answers naming Google Ads Data Hub and the 87 naming Decentriq. In those answers Decentriq took the first choice one time and Google Ads Data Hub three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Google Ads Data Hub and Decentriq stood in it.
ModelDirectGAParaphraseGAComparativeGABudget-constrainedGAScale-constrainedGANegativeGA
Claude Haiku 4.5GA
GPT-5.4 miniGA
Gemini 3.5 FlashGAGAGAGA
Perplexity Sonar
Grok 4.1 FastGA
Mistral Small
DeepSeek V4 FlashGAGA
Llama 4 Maverick
Qwen 3.7 FlashGA
Kimi K2GA
GLM 4.7 FlashXGAGAGA
MiniMax M2.5GA
GPT-6 LunaGAGA
Muse Glimmer 30BGAGA
GA Google Ads Data Hub DecentriqGA first choiceGA named as an alternativeGA argued againstblank: not namedEach cell is one answer, Google Ads Data Hub on the left and Decentriq on the right.

The direct prompt

The plain question, one answer per model, grouped by where Google Ads Data Hub and Decentriq stood in it.

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
Grok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Decentriq, InfoSum, LiveRamp Clean Room
Mistral SmallInfoSum alternatives: Decentriq, Habu, 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

9 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
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room
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 seven points.
Google Ads Data Hub8%#3 of 12
Decentriq2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Google Ads Data Hub leads by seven points.
Google Ads Data Hub10%#5 of 10
Decentriq3%#6 of 10
The full mid-market standing →
Enterprise
The order flips: Decentriq leads at enterprise.
Decentriq7%#5 of 9
Google Ads Data Hub0%#9 of 9
The full enterprise standing →

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

What the models said about Decentriq

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

“positioned more for regulated or security-heavy use cases, which usually makes it less budget-oriented” Perplexity Sonar · budget prompt · soft negative
“these enterprise-grade platforms are almost always a classic case of over-engineering” Gemini 3.5 Flash · direct prompt · soft negative
“like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible” Gemini 3.5 Flash · budget prompt · soft negative
“neutral, pure-play DCR vendors with hardware-backed privacy ... These include: Decentriq (confidential computing/hardware-backed)” DeepSeek V4 Flash · negative prompt · first choice
“Optable or Decentriq are commonly cited data clean room options” Muse Glimmer 30B · paraphrase prompt · first choice
“I'd suggest starting with either Decentriq or InfoSum” MiniMax M2.5 · paraphrase 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.