# AWS Clean Rooms vs Google Ads Data Hub: which do AI models recommend for data clean rooms, October 2026

GTM AI Recommendation Index, October 2026 Edition, Data clean rooms. Two of fourteen models named AWS Clean Rooms first on the direct prompt; zero named Google Ads Data Hub. Page: https://gtm-ai-index.com/gtm-data/data-clean-rooms/aws-clean-rooms-vs-google-ads-data-hub/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| AWS Clean Rooms | 15% | #2 of 10 | 7% | 42 | 12 of 14 |
| Google Ads Data Hub | 10% | #5 of 10 | 18% | 28 | 12 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: aws clean rooms first (first choices: AWS Clean Rooms) (alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms)
- Grok 4.1 Fast: aws clean rooms first (first choices: AWS Clean Rooms, Snowflake Data Clean Rooms) (alternatives: Decentriq, InfoSum, LiveRamp Clean Room)
- Gemini 3.5 Flash: neither first, one named (first choices: Crossbeam) (alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms)
- Perplexity Sonar: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room)
- DeepSeek V4 Flash: neither first, one named (first choices: Optable) (alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms)
- GLM 4.7 FlashX: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate)
- GPT-6 Luna: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room)
- Muse Glimmer 30B: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu)
- Claude Haiku 4.5: neither named (first choices: Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms) (alternatives: Apollo.io)
- Mistral Small: neither named (first choices: InfoSum) (alternatives: Decentriq, Habu, LiveRamp Clean Room)
- Llama 4 Maverick: neither named (first choices: Amazon Marketing Cloud)
- Qwen 3.7 Flash: neither named (first choices: LiveRamp Clean Room) (alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk)
- Kimi K2: neither named (first choices: Optable) (alternatives: Habu, Snowflake Data Clean Rooms)
- MiniMax M2.5: neither named (first choices: Amazon Marketing Cloud) (alternatives: Deciq)

## What the models said about AWS Clean Rooms

- "Pay-per-use (CRPU-hours); no free tier; costs can escalate quickly" (Kimi K2, budget prompt, hard negative)
- "Cloud-based (e.g., AWS Clean Rooms, Snowflake, Databricks) | Strong infrastructure, but integration complexity and variable TCO" (Grok 4.1 Fast, 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, negative prompt, soft negative)
- "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, 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, 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, budget prompt, first choice)

## What the models said about Google Ads Data Hub

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.