Index › GTM › GTM data and infrastructure › Data clean rooms › Small business · November 2026 Edition
Data clean rooms for small business buyers
Asked as “data clean room”, and as “privacy-safe data collaboration platform”, on behalf of a small B2B company. 64 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
19%
Contested · Crossbeam 17%
19AWS Clean Rooms17Crossbeam11Google Ads Data Hub53others
19% of first choices, contested.
Since October 2026▼−7Since October 2026: 26% → 19%, −7 points. Inside the 11-point floor: within noise.AWS Clean Rooms held the lead, −7 points on 26%, 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.This pageMid-market
Snowflake Data Clean Rooms27%Contested▲+8Since October 2026: 19% → 27%, +8 points. Inside the 11-point floor: within noise.Standing →EnterpriseSnowflake 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.Standing →EnterpriseSnowflake 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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01AWS Clean Rooms19%19%53accepted challenger▼−7Since October 2026: 26% → 19%, −7 points. Inside the 11-point floor: within noise.26% → 19%
02
Crossbeam17%9%23accepted challenger▲+2Since October 2026: 15% → 17%, +2 points. Inside the 11-point floor: within noise.15% → 17%
Crossbeam17%9%23accepted challenger▲+2Since October 2026: 15% → 17%, +2 points. Inside the 11-point floor: within noise.15% → 17%03Google Ads Data Hub Lab in the set11%24%37accepted challenger▲+1Since October 2026: 10% → 11%, +1 point. Inside the 11-point floor: within noise.10% → 11%
04Amazon Marketing Cloud8%21%28accepted challenger▲+3Since October 2026: 5% → 8%, +3 points. Inside the 11-point floor: within noise.5% → 8%
05Snowflake Data Clean Rooms6%39%57criticized challenger▲+1Since October 2026: 5% → 6%, +1 point. Inside the 11-point floor: within noise.5% → 6%
Snowflake Data Clean Rooms6%39%57criticized challenger▲+1Since October 2026: 5% → 6%, +1 point. Inside the 11-point floor: within noise.5% → 6%06Meta Advanced Analytics5%37%19criticized challenger▲+2Since October 2026: 3% → 5%, +2 points. Inside the 11-point floor: within noise.3% → 5%
07
Decentriq5%44%16criticized challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise.2% → 5%
Decentriq5%44%16criticized challenger▲+3Since October 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise.2% → 5%08
LiveRamp Clean Room3%68%31criticized challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%
LiveRamp Clean Room3%68%31criticized challenger▲+1Since October 2026: 2% → 3%, +1 point. Inside the 11-point floor: within noise.2% → 3%09Google BigQuery Data Clean Rooms Lab in the set2%7%15accepted challenger▼−6Since October 2026: 8% → 2%, −6 points. Inside the 11-point floor: within noise.8% → 2%
10
Optable2%15%13accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
Optable2%15%13accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%11Habu2%52%21criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the two products at 0%, ordered by negative rate
13
Databricks Clean Rooms0%73%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Databricks Clean Rooms0%73%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%12
InfoSum0%57%28criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
InfoSum0%57%28criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 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 seven 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 one time of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
Head to head
Snowflake Data Clean Rooms vs Amazon Marketing CloudSnowflake Data Clean Rooms vs Google Ads Data HubSnowflake Data Clean Rooms vs AWS Clean Rooms
Head-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.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 →
A01
02G03
A04
05M06
0708G09
10H11
1213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01AWS Clean Rooms19%
02Crossbeam17%
Crossbeam17%03Google Ads Data Hub11%
04Amazon Marketing Cloud8%
05Snowflake Data Clean Rooms6%
Snowflake Data Clean Rooms6%06Meta Advanced Analytics5%
07Decentriq5%
Decentriq5%08LiveRamp Clean Room3%
LiveRamp Clean Room3%09Google BigQuery Data Clean Rooms2%
10Optable2%
Optable2%11Habu2%
12InfoSum0%
InfoSum0%13Databricks Clean Rooms0%
Databricks Clean Rooms0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna 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.
Snowflake Data Clean Rooms39%
22 of 57 labels negative · 13 of 14 models · 3 hard negative
“Avoid Enterprise-Grade Cloud Warehouses ... solutions like Snowflake, Databricks, and AWS Clean Rooms are generally not suitable for small businesses” GLM 4.7 FlashX, negative prompt
LiveRamp Clean Room68%
21 of 31 labels negative · 11 of 14 models · 5 hard negative
“Criticized for being tailored to large-scale marketers with massive media spends, and not well-suited for smaller budgets or simpler use cases.” Mistral Small, negative prompt
InfoSum57%
16 of 28 labels negative · 10 of 14 models · 3 hard negative
“Another platform flagged as an enterprise-focused solution, with a significant number of negative labels from small business evaluators.” Mistral Small, negative prompt
AWS Clean Rooms
19%
10 of 53 labels negative · 9 of 14 models · 2 hard negative
“Platforms like Snowflake, Databricks, and AWS Clean Rooms... Why to Avoid: These are database engines, not out-of-the-box solutions.” Qwen 3.7 Flash, negative 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
72 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. 878 links across 231 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 · SourceForge34 answers · 45 citations · 12 models
publisher (Gane)31 answers · 33 citations · 10 models
vendor site · Amazon Web Services26 answers · 47 citations · 10 models
25 answers · 40 citations · 11 models
vendor site · LiveRamp24 answers · 27 citations · 12 models
23 answers · 23 citations · 10 models
21 answers · 22 citations · 10 models
21 answers · 21 citations · 11 models
vendor site · Decentriq19 answers · 23 citations · 8 models
vendor site · Guideflow16 answers · 16 citations · 10 models
16 answers · 16 citations · 10 models
14 answers · 30 citations · 5 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.
30 answers · 10 models
23 answers · 10 models
22 answers · 9 models
21 answers · 12 models
21 answers · 11 models
20 answers · 9 models
16 answers · 8 models
16 answers · 10 models
16 answers · 10 models
14 answers · 9 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 |
|---|---|---|---|---|---|---|---|---|
| AWS Clean Rooms | 19% | 720 | 4 | |||||
| Crossbeam crossbeam.com | 17% | 88 | 5,400 | 97 | 4,256 | 3 | ||
| Google parent site Google Ads Data Hub 11%, Google BigQuery Data Clean Rooms 2%, Google Ads 2% | 14% | 201 | 550,000 | 15,818 | ||||
| Amazon amazon.sa Amazon Marketing Cloud 8% | 8% | 80 | 151,000,000 | 1,380,939 | ||||
| Proton Drive proton.me Proton Drive for Business 3%, Proton Workspace 3%, Proton Drive 2% | 8% | 4 | 3,125,854 | 120 | ||||
| Snowflake Data Cloud snowflake.com Snowflake Data Clean Rooms 6% | 6% | 158 | 390 | 11 | 718,749 company | 118 | 6 | |
| Meta parent site Meta Advanced Analytics 5% | 5% | 53 | 90 | 0 | ||||
| Decentriq decentriq.com | 5% | 71 | 170 | 1 | 911 | 2 | ||
| LiveRamp liveramp.com LiveRamp Clean Room 3%, LiveRamp Safe Haven 0% | 3% | 89 | 18,100 | 358 | 20,494 company | $339 | 44 | 4 |
| Optable optable.co | 2% | 25 | 390 | 16 | 1 |
Google's top ten for the two searches hold 16 sites; 2 of them are among the sites the models cited here (decentriq.com, liveramp.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 small B2B company?”Paraphrase“Which privacy-safe data collaboration platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top data clean rooms for a small team and how do they differ?”Budget-constrained“What is the best data clean room for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a data clean room. What should we look at?”Negative“Which data clean rooms should a small business avoid or be cautious about?”
Claude Haiku 4.5Google BigQuery Data Clean RoomsDecentriq, Snowflake Data Clean RoomsChangedHabu, InfoSumagainst: AWS Clean RoomsPeonyno first choiceagainst: AWS Clean Rooms, Databricks Clean Rooms, Snowflake Data Clean Rooms
Three alternatives
Amazon Marketing Cloud, Optable, Snowflake Data Clean RoomsTwo alternatives
DataMoon Clean Room, Duality TechnologiesThree alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Snowflake Data Clean RoomsThree alternatives
AppsFlyer, Optable, SecureDocsGPT-5.4 miniSnowflake Data Clean RoomsSnowflake Data Clean RoomsHeldSnowflake Data Clean RoomsAWS Clean Roomsno first choiceagainst: AWS Clean Rooms, BigQuery Data Clean Rooms, Snowflake Data Clean Rooms
One alternative
AWS Clean RoomsOne alternative
LiveRamp Clean RoomFour alternatives
AWS Clean Rooms, Google Ads Data Hub, Habu, InfoSumTwo alternatives
BigQuery Data Clean Rooms, Snowflake Data Clean RoomsGemini 3.5 FlashCrossbeamagainst: Habu, InfoSum, LiveRamp Clean RoomCrossbeamHeldAWS Clean Rooms, Snowflake Data Clean RoomsAWS Clean Roomsagainst: Habu, InfoSum, LiveRamp Clean Roomno first choiceagainst: Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean Rooms
Three alternatives
AWS Clean Rooms, Decentriq, Snowflake Data Clean RoomsTwo alternatives
Decentriq, Snowflake Data Clean RoomsFour alternatives
Amazon Marketing Cloud, Google Ads Data Hub, InfoSum, LiveRamp Clean RoomFive alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Google BigQuery Data Clean Rooms, Meta Advanced Analytics, Snowflake Data Clean RoomsPerplexity SonarAWS Clean Roomsagainst: Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsDecentriqChangedAWS Clean Rooms, Snowflake Data Clean RoomsAWS Clean Roomsagainst: Decentriq, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choiceagainst: AWS, Amazon, Databricks Clean Rooms, Google, Meta Advanced Analytics, Snowflake Data Clean Rooms
One alternative
CrossbeamOne alternative
ShareFileFive alternatives
AppsFlyer Clean Room, Decentriq, Google Ads Data Hub, InfoSum, LiveRamp Safe HavenOne alternative
Google Ads Data HubGrok 4.20Crossbeamagainst: LiveRamp Clean RoomCrossbeamHeldAWS Clean Rooms, Google BigQuery Data Clean Roomsagainst: DecentriqGoogle Ads Data Hubagainst: Crossbeam, Decentriq, LiveRamp Clean Room, OptableHabu, LiveRamp Clean Roomagainst: Amazon, Google Ads Data Hub, Meta Advanced Analyticsagainst: Amazon's, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Meta's, Snowflake Data Clean Rooms
Four alternatives
AWS Clean Rooms, BigQuery Clean Rooms, Google Ads Data Hub, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, OneTrust, Proton Drive for BusinessTwo alternatives
Crossbeam, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Snowflake Data Clean RoomsMistral SmallAWS Clean RoomsProton WorkspaceChangedAppsFlyer, Optableagainst: LiveRamp Clean RoomCrossbeam, Shareno first choiceagainst: Databricks Clean Rooms, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Rooms
Three alternatives
InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
Element, ONES.comTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsFour alternatives
Amazon Marketing Cloud, AppsFlyer, Google Ads Data Hub, OptableDeepSeek V4 FlashCrossbeamAWS Clean RoomsChangedagainst: Decentriq, Habu, LiveRamp Clean Room, OneTrustCrossbeamagainst: Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsAmazon Marketing Cloud, Google Ads Data Hubno first choiceagainst: AWS Clean Rooms, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Rooms
Three alternatives
AWS Clean Rooms, BigQuery Clean Rooms, Google Ads Data HubThree alternatives
Databricks Clean Rooms, Google BigQuery Data Clean Rooms, Snowflake Data Clean RoomsOne alternative
AWS Clean RoomsTwo alternatives
Google BigQuery Data Clean Rooms, OptableTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsLlama 4 MaverickAppsFlyer, Optableno first choiceChangedAWS Clean RoomsGoogle Ads Data Hubno first choiceagainst: AWS, Databricks Clean Rooms, InfoSum, LiveRamp Clean Room, Snowflake Data Clean Rooms
Three alternatives
AWS Clean Rooms, InfoSum, Snowflake Data Clean RoomsTwo alternatives
Google BigQuery Data Clean Rooms, OptableFour alternatives
Amazon Marketing Cloud, AppsFlyer, Meta Advanced Analytics, OptableQwen 3.7 FlashAWS Clean Roomsagainst: CrossbeamFission TechnologiesChangedagainst: AWS, Snowflake Data Clean RoomsAWS Clean Rooms, Terminusagainst: Amazon Retail Media, Google CM360AWS Clean RoomsGoogle Ads, Meta Advanced Analyticsagainst: Databricks Clean Rooms, InfoSum, LiveRamp Clean Roomagainst: AWS Clean Rooms, Amazon Ads, Databricks Clean Rooms, Google Ads Data Hub, Meta Advanced Analytics, Oracle Siebel, Salesforce ExactTarget, Snowflake Data Clean Rooms, TikTok PrivacyGo, YouTube
Three alternatives
AppsFlyer, Optable, Snowflake Data Clean RoomsTwo alternatives
Segment, ShareFileFour alternatives
Meta Advantage+ Audiences, Shopify Audiences, Snowflake Data Sharing, ZetarisTwo alternatives
Google BigQuery Data Clean Rooms, Snowflake Data Clean RoomsOne alternative
Snowflake Data Clean RoomsKimi K2AWS Clean Roomsagainst: Habu, InfoSum, LiveRamp Clean RoomProton Drive for Business, TeamDriveChangedagainst: InfoSum, LiveRamp Clean RoomAmazon Marketing Cloudagainst: Decentriq, Meta Advanced AnalyticsAmazon Marketing Cloud, Google Ads Data Hubagainst: Habu, InfoSum, LiveRamp Clean RoomDecentriq, LiveRamp Clean Roomagainst: AWS Clean Rooms, Snowflake Data Clean Roomsagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analytics
Two alternatives
Google Ads Data Hub, Snowflake Data Clean RoomsThree alternatives
Microsoft OneDrive, SecureRoomz, idgardFour alternatives
AWS Clean Rooms, Google Ads Data Hub, LiveRamp Clean Room, Snowflake Data Clean RoomsTwo alternatives
AWS Clean Rooms, Meta Advanced AnalyticsTwo alternatives
Amazon Marketing Cloud, Google Ads Data HubGLM 4.7 FlashXAWS Clean Rooms, Crossbeamagainst: Amazon Marketing CloudTresoritChangedagainst: Google Workspace, Microsoft 365AWS Clean RoomsAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsagainst: Habu, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choiceagainst: AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, Meta Advanced Analytics, Snowflake Data Clean Rooms
Five alternatives
Databricks Clean Rooms, Decentriq, Google BigQuery Data Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean RoomsTwo alternatives
Proton Workspace, idgardSix alternatives
Crossbeam, Decentriq Collaborative Audience Platform, Google BigQuery Data Clean Rooms, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean RoomsOne alternative
AWS Clean RoomsMiniMax M2.5CrossbeamProton Drive, SecureRoomzChangedAmazon Marketing Cloud, Google Ads Data HubAmazon Marketing Cloud, Google Ads Data Hubagainst: Snowflake Data Clean Roomsno first choiceagainst: AWS Clean Rooms, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Meta Advantage+ Audience Insights, Snowflake Data Clean Roomsagainst: Amazon Marketing Cloud, Decentriq, Google Ads Data Hub Lab, Snowflake Data Clean Rooms
Two alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsTwo alternatives
MEGA, Microsoft Purview SuiteTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsTwo alternatives
AWS Clean Rooms, CrossbeamGPT-6 LunaSnowflake Data Clean RoomsCrossbeamChangedSnowflake Data Clean Roomsagainst: Databricks Clean RoomsBigQuery Data Clean Roomsno first choiceagainst: AWS Clean Rooms, Amazon Marketing Cloud, BigQuery Data Clean Rooms
Two alternatives
AWS Clean Rooms, CrossbeamFour alternatives
AWS Clean Rooms, Google Ads Data Hub, InfoSum, LiveRamp Clean RoomOne alternative
AWS Clean RoomsMuse Glimmer 30BAWS Clean Rooms, Crossbeamagainst: Snowflake Data Clean RoomsProton Drive for Business, Proton WorkspaceChangedAWS Clean Rooms, Crossbeamagainst: OptableAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsagainst: Databricks Clean Rooms, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsAWS Clean Roomsagainst: AWS Clean Rooms, Databricks Clean Rooms, Google BigQuery Data Clean Rooms, Snowflake Data Clean Rooms
Two alternatives
AppsFlyer, OptableOne alternative
ClinkedFour alternatives
Databricks Clean Rooms, Google Ads Data Hub, Google BigQuery Data Clean Rooms, Snowflake Data Clean RoomsOne alternative
Google BigQuery 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 10:53 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:21 | yes | 4 | 6 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 11:42 | yes | 10 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 08:52 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:40 | yes | 13 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:46 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:30 | yes | 20 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:01 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:55 | yes | 5 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:08 | yes | 24 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:40 | yes | 9 | 76 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:57 | yes | 24 | 44 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:54 | yes | 4 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:42 | yes | 11 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:44 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:25 | no | 0 | 2 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 15:41 | yes | 2 | 16 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 16:38 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:55 | yes | 14 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:30 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:56 | yes | 25 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:28 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:44 | no | 0 | 34 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:26 | yes | 23 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:06 | yes | 25 | 232 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:15 | yes | 5 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:51 | yes | 3 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:53 | yes | 24 | 31 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:27 | yes | 16 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:35 | yes | 7 | 8 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 10:00 | yes | 8 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 16:47 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:52 | yes | 13 | 16 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:07 | yes | 9 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:49 | yes | 23 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:22 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:29 | no | 0 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:21 | yes | 23 | 93 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:15 | yes | 23 | 82 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:28 | yes | 13 | 39 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:27 | yes | 8 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:27 | yes | 25 | 43 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:33 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:37 | yes | 3 | 8 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 10:08 | yes | 10 | 21 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 12:53 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:01 | yes | 24 | 18 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 16:22 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:08 | yes | 22 | 23 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:23 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:54 | yes | 20 | 63 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:33 | yes | 18 | 32 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:21 | yes | 18 | 162 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:41 | yes | 7 | 33 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:54 | yes | 2 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:51 | yes | 13 | 23 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:13 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:09 | no | 0 | 7 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 10:28 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 13:47 | yes | 10 | 7 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:07 | yes | 10 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:00 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:36 | yes | 21 | 55 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:07 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:42 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:34 | yes | 18 | 45 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:53 | no | 0 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:09 | no | 0 | 49 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:07 | yes | 4 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:36 | yes | 13 | 25 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:37 | yes | 19 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:21 | yes | 2 | 6 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 08:49 | no | 0 | 16 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 17:14 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:17 | yes | 9 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:25 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:02 | yes | 25 | 51 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:09 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:05 | no | 0 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:30 | yes | 20 | 60 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:15 | yes | 23 | 206 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:47 | yes | 10 | 33 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:35 | yes | 4 | 14 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 15:17 | yes | 13 | 35 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
BigQuery read as Google BigQuery Data Clean Rooms
Databricks read as Databricks Clean Rooms
Databricks Data Clean Rooms read as Databricks Clean Rooms
Google ADH read as Google Ads Data Hub
Google BigQuery read as Google BigQuery Data Clean Rooms
Google Cloud BigQuery read as Google BigQuery Data Clean Rooms
Google Cloud BigQuery (with Clean Rooms features) 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 (Habu) read as LiveRamp Clean Room
LiveRamp (Safe Haven) read as LiveRamp Clean Room
Meta read as Meta Advanced Analytics
Meta (Facebook) read as Meta Advanced Analytics
Meta (Facebook) Advanced Analytics Clean Room read as Meta Advanced Analytics
Meta AA read as Meta Advanced Analytics
Snowflake read as Snowflake Data Clean Rooms
Snowflake (Data Clean Rooms / Secure Data Sharing) 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 Native Clean Rooms read as Snowflake Data Clean Rooms
TikTok read as TikTok PrivacyGo
Unresolved, counted raw
Adobe
Adobe Real-Time CDP Collaboration
Amazon's
Decentriq Collaborative Audience Platform
Fission Technologies
Google
Google Ads Data Clean Room
Google Ads Data Hub Lab
Google CM360
Google Enhanced Conversions
Meta Advantage+ Audience Insights
Meta Advantage+ Audiences
Meta Conversions API (CAPI)
Meta's
Microsoft Purview Suite
Microsoft Purview Suite for Microsoft 365 Business Premium
Salesforce ExactTarget
Share
Shopify native conversions APIs
Snowflake Data Sharing (Secure Views)
Snowflake Native DCR
Snowflake's clean room
Zetaris
Discontinued, still offered
No shut-down product was recommended here.