Index › GTM › GTM data and infrastructure › Data clean rooms › Snowflake Data Clean Rooms vs Google Ads Data Hub
Data clean rooms · November 2026 Edition
Snowflake Data Clean Rooms vs Google Ads Data Hub
Eleven of fourteen models named Snowflake Data Clean Rooms first on the direct prompt; one named Google Ads Data Hub. Both were named by all fourteen models and Snowflake Data Clean Rooms carries 58 labels and Google Ads Data Hub 43, so the shares are not directly comparable.
By Snowflake Inc., San Mateo, United States, founded 2012. 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 share27%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%21%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 11; printed, not drawn.
Labels5843A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Snowflake Data Clean Rooms reading right to left. Rank and label count are printed, not drawn.AWS Clean Rooms was named alongside these two in eleven of the fourteen direct answers. Snowflake Data Clean Rooms vs Amazon Marketing Cloud · Snowflake Data Clean Rooms vs AWS Clean Rooms · Snowflake Data Clean Rooms vs Meta Advanced Analytics
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.
Snowflake Data Clean RoomsFirst choices, of fourteen modelsGoogle Ads Data HubDirect1111 against Google Ads Data Hub
Paraphrase501 against Snowflake Data Clean Rooms · 2 against Google Ads Data Hub
Comparative10
Budget-constrained192 against Snowflake Data Clean Rooms
Scale-constrained101 against Google Ads Data Hub
Negative201 against Snowflake Data Clean Rooms · 5 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 November 2026 Edition, Snowflake Data Clean Rooms and Google Ads Data Hub were named in the same answer eighty-six times, of the 173 answers naming Snowflake Data Clean Rooms and the 101 naming Google Ads Data Hub. In those answers Google Ads Data Hub took the first choice twelve times and Snowflake Data Clean Rooms twenty-one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Snowflake Data Clean Rooms and Google Ads Data Hub stood in it.
| Model | DirectGA | ParaphraseGA | ComparativeGA | Budget-constrainedGA | Scale-constrainedGA | NegativeGA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | GA | GA | GA | |||
| GPT-5.4 mini | | | GA | | ||
| Gemini 3.5 Flash | | | GA | GA | | GA |
| Perplexity Sonar | GA | GA | GA | |||
| Grok 4.20 | | GA | GA | GA | GA | |
| Mistral Small | | GA | GA | |||
| DeepSeek V4 Flash | GA | GA | GA | GA | GA | GA |
| Llama 4 Maverick | GA | GA | GA | |||
| Qwen 3.7 Flash | | GA | ||||
| Kimi K2 | GA | | GA | GA | | |
| GLM 4.7 FlashX | GA | GA | ||||
| MiniMax M2.5 | | | GA | | ||
| GPT-6 Luna | | | GA | | ||
| Muse Glimmer 30B | | | GA | GA |
Snowflake Data Clean RoomsGA Google Ads Data Hub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Snowflake Data Clean Rooms on the left and Google Ads Data Hub on the right.The direct prompt
The plain question, one answer per model, grouped by where Snowflake Data Clean Rooms and Google Ads Data Hub stood in it.
Snowflake Data Clean Rooms first, Google Ads Data Hub an alternative
11 of 14 modelsGoogle Ads Data Hub was named in the answer but not as the choice, or not at all.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
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
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven
Google Ads Data Hub first, Snowflake Data Clean Rooms an alternative
1 of 14 modelsSnowflake Data Clean Rooms was named in the answer but not as the choice, or not at all.Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution
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 five points.
Google Ads Data Hub11%#3 of 13
Snowflake Data Clean Rooms6%#5 of 13Mid-marketThe figures above
The order flips: Snowflake Data Clean Rooms leads at mid-market.
Snowflake Data Clean Rooms27%#1 of 11Google Ads Data Hub15%#3 of 11
The full mid-market standing →Enterprise
Snowflake Data Clean Rooms leads by fifty-two points.
Snowflake Data Clean Rooms52%#1 of 11Google Ads Data Hub0%#9 of 11
The full enterprise standing →What the models said about Snowflake Data Clean Rooms
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
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.
“Walled garden clean rooms (Google Ads Data Hub, Amazon Marketing Cloud): These are *B2C advertising-focused* and 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
“regulatory scrutiny (e.g., ongoing antitrust and privacy probes in the EU/US) means potential changes or restrictions. Risks include ecosystem bias” Grok 4.20 · 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
“The free walled-garden options are the realistic start... Google Ads Data Hub provides clean room analysis for advertisers running campaigns on Google properties.” Muse Glimmer 30B · budget prompt · first choice
“the best data clean rooms are the free or low-cost "walled-garden" options from major platforms. These include: - Google Ads Data Hub” Mistral Small · budget prompt · first choice
Also compared
Snowflake Data Clean Rooms vs Amazon Marketing CloudSnowflake Data Clean Rooms vs AWS Clean RoomsSnowflake Data Clean Rooms vs Meta Advanced AnalyticsSnowflake Data Clean Rooms vs Databricks Clean RoomsSnowflake Data Clean Rooms vs InfoSumSnowflake Data Clean Rooms vs LiveRamp Clean RoomAmazon Marketing Cloud vs Google Ads Data HubGoogle Ads Data Hub vs AWS Clean RoomsGoogle Ads Data Hub vs Meta Advanced AnalyticsGoogle Ads Data Hub vs Databricks Clean RoomsGoogle Ads Data Hub vs InfoSumGoogle Ads Data Hub 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.