Data clean rooms
Asked as “data clean room”, and as “privacy-safe data collaboration platform”, on behalf of a mid-market B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
19%
Contested · AWS Clean Rooms 15%
19Snowflake Data Clean Rooms15AWS Clean Rooms14Amazon Marketing Cloud53others
19% of first choices, contested.
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.
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 September 2026
01
Snowflake Data Clean Rooms19%10%52accepted challengernewNew since September 2026: not ranked then, 19% now.
Snowflake Data Clean Rooms19%10%52accepted challengernewNew since September 2026: not ranked then, 19% now.03Amazon Marketing Cloud14%17%24accepted challengernewNew since September 2026: not ranked then, 14% now.
05Google Ads Data Hub Lab in the set10%18%28accepted challengernewNew since September 2026: not ranked then, 10% now.
07
Databricks Clean Rooms2%15%27accepted challengernewNew since September 2026: not ranked then, 2% now.
Databricks Clean Rooms2%15%27accepted challengernewNew since September 2026: not ranked then, 2% now.09Meta Advanced Analytics2%12%16accepted challengernewNew since September 2026: not ranked then, 2% now.
10
LiveRamp Clean Room2%32%37criticized challengernewNew since September 2026: not ranked then, 2% now.
LiveRamp Clean Room2%32%37criticized challengernewNew since September 2026: not ranked then, 2% now.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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 two times of 4; the other thirteen models four times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Snowflake Data Clean Rooms vs Google Ads Data HubSnowflake Data Clean Rooms vs DecentriqSnowflake Data Clean Rooms vs Databricks Clean RoomsSnowflake Data Clean Rooms vs HabuAWS Clean Rooms vs Amazon Marketing CloudAWS Clean Rooms vs InfoSumAWS Clean Rooms vs Google Ads Data HubAWS Clean Rooms vs DecentriqAWS Clean Rooms vs Databricks Clean RoomsAWS Clean Rooms vs HabuAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs Google Ads Data HubAmazon Marketing Cloud vs DecentriqAmazon Marketing Cloud vs Databricks Clean RoomsAmazon Marketing Cloud vs HabuInfoSum vs Google Ads Data HubInfoSum vs DecentriqInfoSum vs Databricks Clean RoomsInfoSum vs HabuGoogle Ads Data Hub vs DecentriqGoogle Ads Data Hub vs Databricks Clean RoomsGoogle Ads Data Hub vs HabuDecentriq vs Databricks Clean RoomsDecentriq vs HabuDatabricks Clean Rooms vs Habu
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
A03
04G05
0607H08
M09
10Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01Snowflake Data Clean Rooms19%
Snowflake Data Clean Rooms19%02AWS Clean Rooms15%
03Amazon Marketing Cloud14%
04InfoSum10%
InfoSum10%05Google Ads Data Hub10%
06Decentriq3%
Decentriq3%07Databricks Clean Rooms2%
Databricks Clean Rooms2%08Habu2%
09Meta Advanced Analytics2%
10LiveRamp Clean Room2%
LiveRamp Clean Room2%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, 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.
InfoSum23%
9 of 39 labels negative · 7 of 14 models · 2 hard negative
“Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.1 Fast, budget prompt
Google Ads Data Hub
18%
5 of 28 labels negative · 5 of 14 models
“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
LiveRamp Clean Room32%
12 of 37 labels negative · 4 of 14 models · 3 hard negative
“What to Avoid as a Mid-Market B2B - **LiveRamp / Habu:** Enterprise-grade, with the average enterprise setup running around **$879K**” DeepSeek V4 Flash, direct prompt
Snowflake Data Clean Rooms10%
5 of 52 labels negative · 4 of 14 models · 1 hard negative
“Usage-based through Snowflake consumption; costs scale with data volume” Kimi K2, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
79 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. 1097 links across 235 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · Decentriq44 answers · 55 citations · 12 models
39 answers · 39 citations · 12 models
vendor site · LiveRamp33 answers · 39 citations · 11 models
vendor site · Guideflow29 answers · 29 citations · 9 models
24 answers · 30 citations · 11 models
vendor site · Funnel23 answers · 23 citations · 9 models
vendor site · Gartner20 answers · 22 citations · 11 models
20 answers · 20 citations · 9 models
vendor site · Amazon Web Services19 answers · 25 citations · 10 models
vendor site · SourceForge19 answers · 23 citations · 12 models
18 answers · 18 citations · 10 models
vendor site · Snowflake16 answers · 24 citations · 8 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.
39 answers · 12 models
39 answers · 12 models
29 answers · 9 models
26 answers · 10 models
23 answers · 9 models
19 answers · 11 models
18 answers · 10 models
14 answers · 8 models
13 answers · 6 models
13 answers · 7 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 19% | 19% | 152 | 390 | 11 | 718,749 company | 118 | 6 | |
| AWS Clean Rooms | 15% | 720 | 4 | |||||
| Amazon parent site Amazon Marketing Cloud 14% | 14% | 60 | 151,000,000 | 1,380,939 | ||||
| Google parent site Google Ads Data Hub 10%, Google Cloud BigQuery Data Clean Rooms 2% | 12% | 69 | 140 | 0 | ||||
| InfoSum infosum.com | 10% | 114 | 390 | 7 | 362 | 5 | 6 | |
| Optable | 5% | 390 | 16 | |||||
| Decentriq decentriq.com | 3% | 86 | 170 | 1 | 911 | 2 | ||
| Crossbeam crossbeam.com | 3% | 46 | 5,400 | 97 | 4,256 | 3 | ||
| Placino | 3% | |||||||
| LiveRamp liveramp.com LiveRamp Clean Room 2%, LiveRamp Safe Haven 2% | 3% | 109 | 18,100 | 358 | 20,494 company | $339 | 44 | 4 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (decentriq.com, gartner.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 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 4.5Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Roomsagainst: ZoomInfoOmnisient, Snowflake Data Clean RoomsChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hubno first choicenothing named
One alternative
Apollo.ioTwo alternatives
Duality, KiteworksThree alternatives
Databricks Clean Rooms, InfoSum, Snowflake Data Clean RoomsGPT-5.4 miniAWS Clean RoomsSnowflake Data Clean RoomsChangedno first choiceAWS Clean Roomsno first choiceagainst: AWS
Three alternatives
Acxiom, Databricks Clean Rooms, Snowflake Data Clean RoomsOne alternative
AWS Clean RoomsSeven alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsOne alternative
Snowflake Data Clean RoomsGemini 3.5 FlashCrossbeamagainst: Decentriq, InfoSum, LiveRamp Clean RoomCrossbeamHeldAWS Clean Rooms, Databricks Clean Rooms, Snowflake Data Clean RoomsAmazon Marketing Cloud, Google Ads Data Hubagainst: Decentriq, InfoSum, LiveRamp Clean RoomAmazon Marketing Cloud, Google Ads Data Hubagainst: Habu, LiveRamp Clean Roomagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analytics
Four alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean RoomsFour alternatives
Databricks Clean Rooms, Habu, Snowflake Data Clean Rooms, Venn.cloudThree alternatives
Decentriq, InfoSum, LiveRamp Clean RoomFour alternatives
AWS Clean Rooms, Crossbeam, Meta Advanced Analytics, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Databricks Clean Rooms, Snowflake Data Clean RoomsPerplexity SonarSnowflake Data Clean RoomsInfoSumChangedSnowflake Data Clean RoomsPlacinoagainst: Decentriqno first choicenothing named
Three alternatives
AWS Clean Rooms, InfoSum, LiveRamp Clean RoomTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsFour alternatives
AWS Clean Rooms, Decentriq, InfoSum, LiveRamp Clean RoomOne alternative
AWS Clean RoomsGrok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Roomsagainst: Databricks Clean RoomsInfoSumChangedagainst: LiveRamp Clean Roomno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: InfoSum, LiveRamp Clean RoomBigQuery, Snowflake Data Clean Roomsagainst: AWS Clean Rooms, Amazon, Databricks Clean Rooms, Datavant, Google, LiveRamp Clean Room, Meta Advanced Analytics, Snowflake Data Clean Rooms
Three alternatives
Decentriq, InfoSum, LiveRamp Clean RoomTwo alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsSix alternatives
AWS Clean Rooms, Databricks Lakehouse, Meta Advanced Analytics, PrivacyGo Data Clean Room, Snowflake Data Clean Rooms, TikTok PrivacyGoThree alternatives
AWS Clean Rooms, Decentriq, LiveRamp Clean RoomMistral SmallInfoSumSync.com for TeamsChangedAWS Clean RoomsAWS Clean Roomsno first choicenothing named
Three alternatives
Decentriq, Habu, LiveRamp Clean RoomOne alternative
LarkEight alternatives
Experian, Google Cloud, Habu, InfoSum, Microsoft Azure Data Clean Room, Optable, Snowflake Data Clean Rooms, TransUnionOne alternative
Optable CollaborateDeepSeek V4 FlashOptableagainst: Habu, InfoSum, LiveRamp Clean RoomHabuChangedagainst: LiveRamp Clean Roomno first choiceAmazon Marketing Cloud, Google Ads Data Hubagainst: InfoSum, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choiceagainst: AWS Clean Rooms, Amazon Marketing Cloud, BigQuery, Databricks Clean Rooms, Google Ads Data Hub, Meta Clean Room, Snowflake Data Clean Rooms
Two alternatives
AWS Clean Rooms, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, InfoSum, Snowflake Data Clean RoomsSix alternatives
AWS Clean Rooms, Databricks Clean Rooms, Decentriq, InfoSum, LiveRamp Data Collaboration Platform, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Google BigQuery's clean room, Meta Advanced AnalyticsLlama 4 MaverickAmazon Marketing CloudInfoSumChangedno first choiceMediarithmicsno first choicenothing named
One alternative
DecentriqQwen 3.7 FlashLiveRamp Clean RoomSnowflake Data Clean RoomsChangedagainst: Syseverse, ThalesLiveRamp Clean Room, Snowflake Data Clean RoomsAWS Clean Roomsagainst: InfoSum, Salesforce, SecureScaleno first choiceagainst: Amazon DSP, Google Marketing Platform, Meta Advantage+, TikTok Pixel
Four alternatives
Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade DeskThree alternatives
AWS Clean Rooms, Dataweave, Habanero LearningThree alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced AnalyticsThree alternatives
Google Marketing Platform, Meta Advantage+ Audience Solutions, Snowflake Data CloudKimi K2Optableagainst: InfoSum, LiveRamp Clean RoomInfoSumChangedno first choicePlacinoagainst: AWS Clean Rooms, LiveRamp Clean Room, Snowflake Data Clean Roomsno first choiceagainst: Databricks Clean Rooms, LiveRamp Clean Room, Truata
Two alternatives
Habu, Snowflake Data Clean RoomsThree alternatives
AWS Clean Rooms, Habu, Snowflake Data Clean RoomsTwo alternatives
Amazon Marketing Cloud, Google Ads Data HubGLM 4.7 FlashXSnowflake Data Clean RoomsAWS Clean RoomsChangedagainst: InfoSumLiveRamp Clean Room, Snowflake Data Clean RoomsGoogle Cloud BigQuery Data Clean Roomsno first choiceagainst: Google Ads Data Hub, Snowflake’s Legacy Provider and Consumer Clean Rooms
Five alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp RelateTwo alternatives
BigQuery Data Clean Rooms, OmnisientThree alternatives
Amazon Marketing Cloud, Google Ads Data Hub, Meta Advanced AnalyticsFour alternatives
AWS Clean Rooms, OpenMined/PySyft, PrivacyGo Data Clean Room, Snowflake Data Clean RoomsMiniMax M2.5Amazon Marketing CloudDecentriq, InfoSumChangedno first choiceAmazon Marketing Cloud, Google Ads Data Hub, Meta Advanced Analyticsno first choicenothing named
One alternative
DeciqThree alternatives
AWS Clean Rooms, Apheris Compute Gateway, LiveRamp Clean RoomTwo alternatives
AWS Clean Rooms, Google BigQuery Data Clean RoomsGPT-6 LunaSnowflake Data Clean RoomsAWS Clean RoomsChangedno first choiceAWS Clean Roomsagainst: Snowflake Data Clean Roomsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub
Three alternatives
AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean RoomOne alternative
Snowflake Data Clean RoomsSeven alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Databricks Clean Rooms, Google Ads Data Hub, InfoSum, LiveRamp Clean Room, Snowflake Data Clean RoomsOne alternative
Google Cloud / BigQueryMuse Glimmer 30BSnowflake Data Clean RoomsDecentriq, OptableChangedSnowflake Data Clean Roomsagainst: InfoSumAWS Clean Rooms, Snowflake Data Clean Roomsno first choiceagainst: Amazon Marketing Cloud, Google Ads Data Hub, Meta’s PET-based collaborations
Four alternatives
AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by HabuThree alternatives
Dromo, Duality Technologies, Snowflake Secure Data SharingFive alternatives
ADH+, Amazon Web Services Clean Rooms, Databricks Clean Rooms, Decentriq, LiveRamp Clean RoomOne alternative
BigQueryBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-04 23:34 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:46 | yes | 1 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:58 | yes | 15 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-05 00:45 | yes | 16 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:18 | yes | 18 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:22 | yes | 10 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:12 | yes | 21 | 31 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:24 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:34 | no | 0 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:09 | yes | 19 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:39 | yes | 22 | 31 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:19 | yes | 5 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:59 | yes | 4 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:27 | yes | 19 | 32 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:46 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:46 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:21 | yes | 15 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-05 00:11 | yes | 21 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:08 | yes | 25 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:25 | yes | 10 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:19 | yes | 21 | 42 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:51 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:54 | no | 0 | 41 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:14 | yes | 20 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:30 | yes | 23 | 28 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:36 | yes | 10 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:47 | yes | 2 | 16 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:53 | yes | 15 | 23 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:00 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:21 | yes | 3 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:19 | yes | 23 | 34 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 00:26 | yes | 17 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:23 | yes | 21 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:46 | yes | 8 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:28 | yes | 22 | 39 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:42 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:25 | yes | 14 | 68 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:42 | yes | 19 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:39 | yes | 24 | 76 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:04 | yes | 25 | 47 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:48 | yes | 8 | 25 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:02 | yes | 15 | 27 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:41 | yes | 16 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:01 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:36 | yes | 15 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-04 22:24 | yes | 35 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:42 | yes | 18 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:25 | yes | 20 | 18 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:16 | yes | 22 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:46 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:23 | no | 0 | 27 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:22 | yes | 21 | 29 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:03 | yes | 20 | 51 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:38 | yes | 8 | 48 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:49 | yes | 4 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:03 | yes | 14 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:33 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:44 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:58 | yes | 9 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-04 23:25 | yes | 17 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:02 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:33 | yes | 5 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:29 | yes | 20 | 52 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:58 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:25 | yes | 5 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:53 | yes | 9 | 30 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:13 | yes | 12 | 60 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:25 | yes | 10 | 46 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:55 | yes | 2 | 27 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:47 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:41 | yes | 17 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:08 | yes | 4 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:59 | yes | 17 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-05 00:00 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:29 | yes | 22 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:23 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:04 | yes | 23 | 35 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:17 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:52 | no | 0 | 31 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:07 | yes | 23 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:50 | yes | 22 | 112 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:25 | yes | 19 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:16 | yes | 4 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:56 | yes | 19 | 25 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
Databricks read as Databricks Clean Rooms
LiveRamp read as LiveRamp Clean Room
LiveRamp (Data Collaboration Platform) read as LiveRamp Clean Room
LiveRamp (Habu) read as LiveRamp Clean Room
LiveRamp (incl. Habu acquisition) read as LiveRamp Clean Room
Meta read as Meta Advanced Analytics
Meta (Partnership Clean Room) read as Meta Advanced Analytics
Snowflake read as Snowflake Data Clean Rooms
Snowflake (Clean Rooms) 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
Unresolved, counted raw
ADH+
Adobe
Amazon PSA
Amazon Web Services Clean Rooms
AppsFlyer Clean Room
DataStax
Databricks clean room offerings
Datavant
Deciq
Dromo
Duality Technologies
Google
Google Ads measurement
Google BigQuery's clean room
Google Cloud (BigQuery Data Clean Rooms / Ads Data Hub)
Google Cloud (BigQuery Data Clean Rooms)
Google Cloud / BigQuery
Habanero Learning
IBM Watsonx.governance
LiveRamp Data Collaboration Platform (formerly Habu)
LiveRamp Data Collaboration Platform powered by Habu
LiveRamp Relate
MC2 Platform
Meta Advantage+ Audience Solutions
Meta’s PET-based collaborations
Microsoft
Microsoft Azure
Microsoft Azure Data Clean Room
Optable Collaborate
Oracle Clean Room
Salesforce
Salesforce Data Cloud Clean Rooms
Salesforce Data Cloud DCR
SecureScale
Snowflake DCR
Snowflake Secure Data Sharing
Snowflake’s Legacy Provider and Consumer Clean Rooms
Syseverse
Targeto
Thales
The Trade Desk's Galileo
TikTok Clean Room
Venn.cloud
Discontinued, still offered
No shut-down product was recommended here.