Data clean rooms
Asked as “data clean room”, and as “privacy-safe data collaboration platform”, on behalf of a mid-market B2B company. 66 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
27%
Contested · Amazon Marketing Cloud 17%
27Snowflake Data Clean Rooms17Amazon Marketing Cloud15Google Ads Data Hub41others
27% of first choices, contested.
Since October 2026▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.Snowflake Data Clean Rooms held the lead, +8 points on 19%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small businessAWS Clean Rooms19%Contested▼−7Since October 2026: 26% → 19%, −7 points. Inside the 11-point floor: within noise.Standing →Mid-market
Snowflake Data Clean Rooms27%Contested▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.This pageEnterpriseSnowflake Data Clean Rooms52%Clear leader▲+14Since October 2026: 38% → 52%, +14 points. Past the 11-point floor: movement.Standing →
Snowflake Data Clean Rooms27%Contested▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.This pageEnterpriseSnowflake Data Clean Rooms52%Clear leader▲+14Since October 2026: 38% → 52%, +14 points. Past the 11-point floor: movement.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Snowflake Data Clean Rooms27%7%58accepted challenger▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.19% → 27%
Snowflake Data Clean Rooms27%7%58accepted challenger▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.19% → 27%02Amazon Marketing Cloud17%25%36criticized challenger▲+3Since October 2026: 14% → 17%, +3 points. Inside the 11-point floor: within noise.14% → 17%
03Google Ads Data Hub Lab in the set15%21%43accepted challenger▲+5Since October 2026: 10% → 15%, +5 points. Inside the 11-point floor: within noise.10% → 15%
04AWS Clean Rooms11%2%48accepted challenger▼−4Since October 2026: 15% → 11%, −4 points. Inside the 11-point floor: within noise.15% → 11%
05Meta Advanced Analytics5%23%26accepted challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise.2% → 5%
06
Databricks Clean Rooms3%12%26accepted challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%
Databricks Clean Rooms3%12%26accepted challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%07
InfoSum3%26%38criticized challenger▼−7Since October 2026: 10% → 3%, −7 points. Inside the 11-point floor: within noise.10% → 3%
InfoSum3%26%38criticized challenger▼−7Since October 2026: 10% → 3%, −7 points. Inside the 11-point floor: within noise.10% → 3%08
LiveRamp Clean Room3%31%35criticized challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%
LiveRamp Clean Room3%31%35criticized challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%Show the three products at 0%, ordered by negative rate
11
Decentriq0%35%23criticized challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 11-point floor: within noise.3% → 0%
Decentriq0%35%23criticized challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 11-point floor: within noise.3% → 0%10Habu0%26%19criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
09Google BigQuery Data Clean Rooms Lab in the set0%0%10accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 11-point floor: within noise.3% → 0%
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google Ads Data Hub is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models ten times of 52. Google BigQuery Data Clean Rooms is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Snowflake 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 HubAmazon Marketing Cloud vs AWS Clean RoomsAmazon Marketing Cloud vs Meta Advanced AnalyticsAmazon Marketing Cloud vs Databricks Clean RoomsAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs LiveRamp Clean RoomGoogle 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 RoomAWS Clean Rooms vs Meta Advanced AnalyticsAWS Clean Rooms vs Databricks Clean RoomsAWS Clean Rooms vs InfoSumAWS Clean Rooms vs LiveRamp Clean RoomMeta Advanced Analytics vs Databricks Clean RoomsMeta Advanced Analytics vs InfoSumMeta Advanced Analytics vs LiveRamp Clean RoomDatabricks Clean Rooms vs InfoSumDatabricks Clean Rooms vs LiveRamp Clean RoomInfoSum vs LiveRamp Clean Room
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01A02
G03
A04
M05
060708G09
H10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Snowflake Data Clean Rooms27%
Snowflake Data Clean Rooms27%02Amazon Marketing Cloud17%
03Google Ads Data Hub15%
04AWS Clean Rooms11%
05Meta Advanced Analytics5%
06Databricks Clean Rooms3%
Databricks Clean Rooms3%07InfoSum3%
InfoSum3%08LiveRamp Clean Room3%
LiveRamp Clean Room3%09Google BigQuery Data Clean Rooms0%
10Habu0%
11Decentriq0%
Decentriq0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
LiveRamp Clean Room31%
11 of 35 labels negative · 8 of 14 models · 5 hard negative
“Avoid Standalone SaaS Clean Rooms Initially... the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI.” Gemini 3.5 Flash, budget prompt
InfoSum26%
10 of 38 labels negative · 7 of 14 models · 3 hard negative
“the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI” Gemini 3.5 Flash, budget prompt
Amazon Marketing Cloud
25%
9 of 36 labels negative · 6 of 14 models · 1 hard negative
“not relevant for most B2B data collaboration use cases” DeepSeek V4 Flash, paraphrase prompt
Google Ads Data Hub
21%
9 of 43 labels negative · 6 of 14 models · 1 hard negative
“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
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
74 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 883 links across 216 sites, every framing counted. Ranked by the number of answers carrying the site or page. 74 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · LiveRamp31 answers · 39 citations · 10 models
28 answers · 28 citations · 12 models
vendor site · Guideflow27 answers · 27 citations · 12 models
vendor site · Decentriq22 answers · 26 citations · 9 models
vendor site · Snowflake19 answers · 27 citations · 7 models
18 answers · 18 citations · 11 models
17 answers · 22 citations · 9 models
vendor site · SourceForge16 answers · 21 citations · 10 models
16 answers · 16 citations · 10 models
vendor site · Snowflake15 answers · 22 citations · 8 models
publisher (Gane)13 answers · 17 citations · 7 models
vendor site · Forrester13 answers · 13 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
28 answers · 12 models
27 answers · 12 models
24 answers · 9 models
17 answers · 11 models
16 answers · 10 models
14 answers · 9 models
13 answers · 5 models
13 answers · 7 models
9 answers · 5 models
9 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best data clean room”, “data clean room”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Snowflake Data Cloud snowflake.com Snowflake Data Clean Rooms 27% | 27% | 158 | 390 | 11 | 718,749 company | 118 | 6 | |
| Amazon amazon.sa Amazon Marketing Cloud 17% | 17% | 80 | 151,000,000 | 1,380,939 | ||||
| Google parent site Google Ads Data Hub 15%, Google BigQuery Data Clean Rooms 0% | 15% | 97 | 140 | 0 | ||||
| AWS Clean Rooms | 11% | 720 | 4 | |||||
| Meta parent site Meta Advanced Analytics 5% | 5% | 53 | 90 | 0 | ||||
| LiveRamp liveramp.com LiveRamp Clean Room 3%, LiveRamp Safe Haven 2% | 5% | 89 | 18,100 | 358 | 20,494 company | $339 | 44 | 4 |
| Databricks databricks.com Databricks Clean Rooms 3% | 3% | 66 | 135,000 | 8,368 | 689,756 company | $34,664 | 120 | 3 |
| InfoSum infosum.com | 3% | 95 | 390 | 7 | 362 | 5 | 6 | |
| Crossbeam crossbeam.com | 3% | 88 | 5,400 | 97 | 4,256 | 3 | ||
| Tresorit tresorit.com | 2% | 6 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (decentriq.com, liveramp.com, snowflake.com). The first result for “best data clean room” is gartner.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best data clean room for a mid-market B2B company?”Paraphrase“Which privacy-safe data collaboration platform would you recommend to a mid-sized B2B company?”Comparative“What are the top data clean rooms and how do they differ?”Budget-constrained“What is the best data clean room for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data clean room. What should we look at?”Negative“Which data clean rooms should I avoid or be cautious about?”
Claude Haiku 4.5AWS Clean Rooms, Snowflake Data Clean RoomsBox, TresoritChangedAWS Clean Rooms, Snowflake Data Clean RoomsAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsno first choicenothing named
Two alternatives
Amazon Marketing Cloud, Google Ads Data HubTwo alternatives
Decentriq, Sync.comFive alternatives
Databricks Clean Rooms, Epsilon PeopleCloud Clean Room, Google Ads Data Hub, InfoSum, LiveRamp Clean RoomThree alternatives
Google BigQuery Data Clean Rooms, Papermark, PeonyGPT-5.4 miniSnowflake Data Clean RoomsAWS Clean Rooms, BigQuery Data Clean RoomsChangedno first choiceAWS Clean Roomsagainst: Databricks Clean Rooms, Habu, InfoSumno first choicenothing named
One alternative
AWS Clean RoomsOne alternative
Snowflake Data Clean RoomsSix alternatives
AWS Clean Rooms, AppsFlyer Clean Room, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
Google BigQuery Data Clean Rooms, Snowflake Data Clean RoomsGemini 3.5 FlashDatabricks Clean Rooms, Snowflake Data Clean RoomsSnowflake Data Clean RoomsChangedno first choiceAWS Clean Roomsagainst: Decentriq, Habu, InfoSum, LiveRamp Clean Roomno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analytics
Three alternatives
Google BigQuery Data Clean Rooms, Habu, InfoSumFour alternatives
AWS Clean Rooms, Crossbeam, Decentriq, InfoSumSeven alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Decentriq, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsFour alternatives
Amazon Marketing Cloud, BigQuery Data Clean Room, Google Ads Data Hub, Snowflake Data Clean RoomsTwo alternatives
Databricks Clean Rooms, Snowflake Data Clean RoomsPerplexity SonarSnowflake Data Clean Roomsagainst: Amazon Marketing Cloud, Decentriq, Google Ads Data HubInfoSumChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choicenothing named
Three alternatives
AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean RoomTwo alternatives
Decentriq, TresoritTen alternatives
AWS Clean Rooms, Amazon Marketing Cloud, AppsFlyer Clean Room, Databricks Clean Rooms, Decentriq, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Databricks Clean Rooms, Meta Advanced AnalyticsGrok 4.20Snowflake Data Clean Roomsagainst: Databricks Clean Rooms, Decentriq, InfoSumSnowflake Data Clean RoomsHeldagainst: Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data HubInfoSum, LiveRamp Clean RoomAWS Clean Rooms, Amazon Marketing Cloudagainst: Habu, InfoSumno first choiceagainst: Amazon, Google, Meta Advanced Analyticsagainst: Acxiom, Amazon Marketing Cloud, Decentriq, Epsilon, Google Ads Data Hub, InMarket, InfoSum, LiveRamp Clean Room, Mobilewalla, Optable, Outlogic, TransUnion, TripleBlind
Four alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Cloud BigQuery or Ads Data Hub, LiveRamp Clean RoomThree alternatives
AWS Clean Rooms, Crossbeam, DecentriqFour alternatives
AWS Clean Rooms, Google Ads Data Hub, Habu, Snowflake Data Clean RoomsThree alternatives
BigQuery Clean Rooms, Google Ads Data Hub, Snowflake Data Clean RoomsMistral SmallSnowflake Data Clean RoomsLiveRamp Clean Room, OneTrustChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub, InfoSum, LiveRamp Clean Rooms, Meta's PET-based collaborations
Two alternatives
AWS Clean Rooms, LiveRamp Clean RoomTwo alternatives
Adobe Real-Time CDP, ONES.comTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsDeepSeek V4 FlashSnowflake Data Clean Roomsagainst: InfoSumCrossbeamChangedagainst: Amazon Marketing Cloud, Decentriq, Google Ads Data Hub, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: Habu, InfoSum, LiveRamp Clean RoomAWS Clean Rooms, Snowflake Data Clean Roomsagainst: Amazon Marketing Cloud, Decentriq, Google Ads Data Hub, Meta Advanced Analyticsagainst: Amazon Marketing Cloud, Disney's clean room, Google Ads Data Hub, LiveRamp Clean Room, Meta's clean rooms, NBCUniversal's clean room
Five alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, LiveRamp Clean RoomTwo alternatives
AWS Clean Rooms, OptableTen alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Decentriq, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Meta Advanced Analytics, Snowflake Data Clean RoomsTwo alternatives
Habu, LiveRamp Safe HavenLlama 4 MaverickGoogle Ads Data Hubno first choiceChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Meta's PET-based collaborations
Four alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean RoomsQwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner ExtensionsLiveRamp Clean RoomChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: Habu, LiveRamp Clean Room, Optableno first choiceagainst: Amazon DSP, Google Marketing Platform, Meta Advantage+, TikTok Ads
One alternative
Salesforce Identity ResolutionSix alternatives
AppsFlyer, Collabera, Fiddle.io, Intralinks, ONES.com, SharePoint Online (Microsoft 365) + Azure PurviewSix alternatives
AWS Clean Rooms, Adobe Audience Manager, Decentriq, Duality Technologies, LiveRamp Clean Room, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Meta Advanced Analytics, Snowflake Data Clean RoomsKimi K2AWS Clean Rooms, Snowflake Data Clean Roomsagainst: LiveRamp Clean RoomSnowflake Data Clean RoomsChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hubno first choiceagainst: Amazon, Google, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean Rooms
Four alternatives
Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSumTwo alternatives
LiveRamp Clean Room, TeamDriveThree alternatives
AWS Clean Rooms, Google BigQuery Data Clean Rooms, OptableThree alternatives
Amazon AMC, Google Ads Data Hub, Meta Advanced AnalyticsGLM 4.7 FlashXCrossbeamagainst: DecentriqDataMoon Clean RoomChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: Meta Advanced Analyticsno first choicenothing named
Two alternatives
Google Ads Data Hub, Snowflake Data Clean RoomsTwo alternatives
Decentriq, Tresorit SecureCloudFive alternatives
AWS Clean Rooms, BigQuery Data Clean Rooms, OpenRefine, PrivacyGo Data Clean Room, Snowflake Data Clean RoomsMiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean RoomsSnowflake Data Clean RoomsChangedno first choiceGoogle Analytics Data Canvas, Snowflake Data Clean Roomsno first choicenothing named
Two alternatives
AWS Clean Rooms, InfoSumFour alternatives
AWS Clean Rooms, LiveRamp Clean Room, Stackfield, VirtruTen alternatives
AWS Clean Rooms, Adobe Real-Time CDP Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, Habu, InfoSum, LiveRamp Safe Haven, Microsoft Azure Data Clean Room, Snowflake Data Clean RoomsThree alternatives
Amazon AWS Clean Rooms, Hightouch Clean Rooms, LiveRamp Clean RoomsGPT-6 LunaSnowflake Data Clean RoomsSnowflake Data Clean RoomsHeldno first choiceAmazon Marketing Cloudagainst: AWS Clean Rooms, Snowflake Data Clean Roomsno first choicenothing named
Two alternatives
AWS Clean Rooms, Databricks Clean RoomsThree alternatives
AWS Clean Rooms, Databricks Clean Rooms, InfoSumEight alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, Google BigQuery Data Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsOne alternative
Ads Data HubMuse Glimmer 30BSnowflake Data Clean RoomsDatabricks Clean RoomsChangedagainst: Box, Microsoft 365no first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: LiveRamp Clean Room, Salesforce Data Cloudno first choiceagainst: Amazon, Disney, Google, Meta Advanced Analytics
Three alternatives
AWS Clean Rooms, InfoSum, LiveRamp Safe HavenFour alternatives
Snowflake Data Clean Rooms, Stackfield, Tresorit, VirtruFive alternatives
Amazon Web Services [AWS Clean Rooms], Google Ads Data Hub, InfoSum Ltd., LiveRamp Holdings Inc., Snowflake Data Clean RoomsFive alternatives
AWS Clean Rooms, Google BigQuery Data Clean Rooms, Meta Advanced Analytics, PrivacyGo Data Clean Room, Snowflake Data Clean RoomsBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:44 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:21 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 17:03 | no | 0 | 18 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:32 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:54 | yes | 9 | 15 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:28 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:59 | yes | 21 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:15 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:47 | no | 0 | 31 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:03 | yes | 17 | 28 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 14:07 | yes | 24 | 196 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:51 | yes | 9 | 35 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:47 | yes | 3 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:24 | yes | 14 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:10 | yes | 19 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:07 | yes | 4 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 16:47 | yes | 9 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 10:30 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:27 | yes | 14 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:53 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:09 | yes | 24 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:54 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:47 | yes | 5 | 19 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:15 | yes | 20 | 44 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:06 | yes | 23 | 37 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:26 | yes | 10 | 23 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:00 | yes | 5 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:30 | yes | 15 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:41 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:46 | yes | 4 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 14:09 | yes | 8 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 14:33 | yes | 10 | 5 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:44 | yes | 10 | 13 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:22 | yes | 5 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:19 | yes | 24 | 31 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:20 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:20 | yes | 5 | 36 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:24 | yes | 15 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:37 | yes | 23 | 89 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:49 | yes | 15 | 37 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:30 | yes | 7 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:35 | yes | 24 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:22 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:37 | yes | 5 | 9 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:46 | yes | 12 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 14:38 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:59 | yes | 9 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:29 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:23 | yes | 21 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:56 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:50 | yes | 14 | 82 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:00 | yes | 18 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:22 | yes | 21 | 88 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:59 | no | 0 | 21 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:33 | yes | 4 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:11 | yes | 14 | 18 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:46 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:05 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:45 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 11:56 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:27 | yes | 5 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:52 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:15 | yes | 22 | 40 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:53 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:38 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:33 | yes | 19 | 29 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:55 | yes | 23 | 44 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:51 | yes | 9 | 24 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:59 | yes | 2 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:07 | yes | 20 | 34 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:39 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:21 | yes | 5 | 16 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 14:18 | yes | 10 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 13:27 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:41 | yes | 14 | 29 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:30 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:42 | yes | 22 | 46 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:59 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:22 | no | 0 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:19 | yes | 25 | 54 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:34 | yes | 20 | 42 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:26 | no | 0 | 22 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:43 | yes | 3 | 13 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:13 | yes | 23 | 31 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
BigQuery read as Google BigQuery Data Clean Rooms
Databricks read as Databricks Clean Rooms
Google ADH read as Google Ads Data Hub
Google Cloud BigQuery read as Google BigQuery Data Clean Rooms
Google Cloud BigQuery Clean Rooms read as Google BigQuery Data Clean Rooms
Google Cloud BigQuery Data Clean Rooms read as Google BigQuery Data Clean Rooms
LiveRamp read as LiveRamp Clean Room
LiveRamp (Clean Room) read as LiveRamp Clean Room
LiveRamp (Habu) read as LiveRamp Clean Room
LiveRamp (RAMP) read as LiveRamp Clean Room
LiveRamp (Safe Haven) read as LiveRamp Clean Room
LiveRamp (formerly Habu) read as LiveRamp Clean Room
Meta read as Meta Advanced Analytics
Meta AA read as Meta Advanced Analytics
Snowflake read as Snowflake Data Clean Rooms
Snowflake Clean Rooms read as Snowflake Data Clean Rooms
Snowflake Data Clean Room read as Snowflake Data Clean Rooms
Snowflake Inc. [Data Clean Rooms] read as Snowflake Data Clean Rooms
Unresolved, counted raw
Accenture
Adobe
Adobe Real-Time CDP Clean Rooms
Amazon AWS Clean Rooms
Amazon Web Services [AWS Clean Rooms]
BigQuery Data Clean Room (via Analytics Hub)
Collabera
Delta DNA
Disney
Disney's clean room
Epsilon PeopleCloud Clean Room
Fiddle.io
FileCloud
Google
Google Analytics Data Canvas (or BigQuery Data Clean Rooms)
Google Cloud BigQuery or Ads Data Hub
Gravic Clean Room
Hightouch Clean Rooms
InfoSum Ltd.
LiveRamp Holdings Inc.
ManaTEE
Meta Advanced Analytics Clean Room
Meta's clean rooms
Microsoft (e.g., via Azure or integrations)
NBCUniversal's clean room
Oodrive
Opaque
Oracle Corp.
Oracle Data Clean Room
Oracle Retail Media
Publicis/others
SPLK
Salesforce Identity Resolution
SharePoint Online (Microsoft 365) + Azure Purview
Snowflake Data Exchange / Partner Extensions
Snowflake Marketplace
Sync.com
The Trade Desk Inc. [Galileo]
Tresorit SecureCloud
TripleBlind
Discontinued, still offered
No shut-down product was recommended here.