Eleven of fourteen models named Snowflake Data Clean Rooms first on the direct prompt; zero named Amazon Marketing Cloud. Both were named by all fourteen models and Snowflake Data Clean Rooms carries 58 labels and Amazon Marketing Cloud 36, so the shares are not directly comparable.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in three categories this edition.
By Amazon, Seattle, United States, founded 1994. Named in two categories this edition.
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.
Across every category in the November 2026 Edition, Snowflake Data Clean Rooms and Amazon Marketing Cloud were named in the same answer sixty-eight times, of the 173 answers naming Snowflake Data Clean Rooms and the 83 naming Amazon Marketing Cloud. In those answers Amazon Marketing Cloud took the first choice thirteen times and Snowflake Data Clean Rooms sixteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AM | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | AM | |||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | AM | AM | ||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | AM | |||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
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.
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 Snowflake, LiveRamp, InfoSum, or Decentriq unless their additional identity, collaboration, or compliance capabilities justify contract and integration costs” Perplexity Sonar · budget prompt · hard negative
“What to Avoid - LiveRamp / Snowflake Data Clean Rooms: ... enterprise-grade in pricing and complexity” DeepSeek V4 Flash · paraphrase prompt · hard negative
“it isn't cost-free: usage and compute are billed, and data providers need Enterprise Edition” GPT-6 Luna · budget prompt · soft negative
“For 90% of mid-market B2B companies, the pragmatic choice is to start with your primary Cloud Data Warehouse's native DCR (typically Snowflake DCR or Databricks Clean Rooms)” Gemini 3.5 Flash · direct prompt · first choice
“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
“start with Google BigQuery Data Clean Rooms or Snowflake's free trial. Both offer low barriers to entry, scalable pricing, and robust features.” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“not relevant for most B2B data collaboration use cases” DeepSeek V4 Flash · paraphrase prompt · hard negative
“What to approach with caution: Native clean rooms operated by major media platforms (e.g., Google Ads Data Hub, Amazon Marketing Cloud, Meta Advanced Analytics)” Gemini 3.5 Flash · negative prompt · soft negative
“Walled Garden Clean Rooms (Use with Caution) ... Vendor lock-in ... be aware you're trading data sovereignty for convenience” DeepSeek V4 Flash · negative prompt · soft negative
“Best all‑around for most advertisers: Google Ads Data Hub (if you're Google‑heavy) or Amazon Marketing Cloud (if you're Amazon‑heavy). Both are free and easy to set up.” GLM 4.7 FlashX · budget prompt · first choice
“likely to be a free walled-garden option such as Google Ads Data Hub, Amazon Marketing Cloud, or Meta Advanced Analytics” Llama 4 Maverick · budget prompt · first choice
“Start with Amazon Marketing Cloud (AMC) or Google Ads Data Hub depending on where your biggest ad spend lies.” Qwen 3.7 Flash · budget prompt · first choice
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.