# Data clean rooms: what AI models recommend, November 2026

Gane Index, November 2026 Edition. Asked as "data clean room" and as "privacy-safe data collaboration platform", six framings each, to fourteen models with search on, on behalf of a mid-market B2B company. Added to the November 2026 Edition. Page: https://www.gane.ai/index/gtm/gtm-data/data-clean-rooms/2026-11

**Standing:** Snowflake Data Clean Rooms leads with 27% of first choices; verdict contested. 66 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| Rank | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | [Snowflake Data Clean Rooms](https://www.gane.ai/index/gtm/vendors/snowflake-data-clean-rooms/index.md) | 27% | 7% | 58 |
| 2 | [Amazon Marketing Cloud](https://www.gane.ai/index/gtm/vendors/amazon-marketing-cloud/index.md) | 17% | 25% | 36 |
| 3 | [Google Ads Data Hub](https://www.gane.ai/index/gtm/vendors/google-ads-data-hub/index.md) | 15% | 21% | 43 |
| 4 | [AWS Clean Rooms](https://www.gane.ai/index/gtm/vendors/aws-clean-rooms/index.md) | 11% | 2% | 48 |
| 5 | [Meta Advanced Analytics](https://www.gane.ai/index/gtm/vendors/meta-advanced-analytics/index.md) | 5% | 23% | 26 |
| 6 | [Databricks Clean Rooms](https://www.gane.ai/index/gtm/vendors/databricks-clean-rooms/index.md) | 3% | 12% | 26 |
| 7 | [InfoSum](https://www.gane.ai/index/gtm/vendors/infosum/index.md) | 3% | 26% | 38 |
| 8 | [LiveRamp Clean Room](https://www.gane.ai/index/gtm/vendors/liveramp-clean-room/index.md) | 3% | 31% | 35 |
| 19 | [Google BigQuery Data Clean Rooms](https://www.gane.ai/index/gtm/vendors/google-bigquery-data-clean-rooms/index.md) | 0% | 0% | 10 |
| 20 | [Habu](https://www.gane.ai/index/gtm/vendors/habu/index.md) | 0% | 26% | 19 |
| 21 | [Decentriq](https://www.gane.ai/index/gtm/vendors/decentriq/index.md) | 0% | 35% | 23 |

Rank is by share of first choices among all 101 products named; products with the same share are tied, and the order among them carries no meaning. The table lists those with at least 10 labels.

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: AWS Clean Rooms, Snowflake Data Clean Rooms; alternatives Amazon Marketing Cloud, Google Ads Data Hub
- GPT-5.4 mini: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms
- Gemini 3.5 Flash: Databricks Clean Rooms, Snowflake Data Clean Rooms; alternatives Google BigQuery Data Clean Rooms, Habu, InfoSum
- Perplexity Sonar: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, Databricks Clean Rooms, LiveRamp Clean Room
- Grok 4.20: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, Amazon Marketing Cloud, Google Cloud BigQuery or Ads Data Hub, LiveRamp Clean Room
- Mistral Small: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, LiveRamp Clean Room
- DeepSeek V4 Flash: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub
- Llama 4 Maverick: Google Ads Data Hub; alternatives AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
- Qwen 3.7 Flash: Gravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions; alternatives Salesforce Identity Resolution
- Kimi K2: AWS Clean Rooms, Snowflake Data Clean Rooms; alternatives Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum
- GLM 4.7 FlashX: Crossbeam; alternatives Google Ads Data Hub, Snowflake Data Clean Rooms
- MiniMax M2.5: LiveRamp Safe Haven, Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, InfoSum
- GPT-6 Luna: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, Databricks Clean Rooms
- Muse Glimmer 30B: Snowflake Data Clean Rooms; alternatives AWS Clean Rooms, InfoSum, LiveRamp Safe Haven

## Sources the answers cite

74 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- liveramp.com: 31 answers, 39 citations
- digitalapplied.com: 28 answers, 28 citations
- guideflow.com: 27 answers, 27 citations
- decentriq.com: 22 answers, 26 citations
- docs.snowflake.com: 19 answers, 27 citations
- data-axle.com: 18 answers, 18 citations
- g2.com: 17 answers, 22 citations
- sourceforge.net: 16 answers, 21 citations

Pages named in the most answers:

- https://digitalapplied.com/blog/data-clean-rooms-advertising-2026-marketer-decision-guide (28 answers)
- https://guideflow.com/blog/data-clean-room-software (27 answers)
- https://liveramp.com/blog/what-to-look-for-in-a-data-clean-room-provider-a-guide (24 answers)
- https://data-axle.com/resources/blog/data-clean-rooms-explained-marketers (17 answers)
- https://rajeshkumar.xyz/blog/data-clean-rooms (16 answers)
- https://sourceforge.net/software/data-clean-room (14 answers)
- https://decentriq.com/article/data-clean-rooms-compared (13 answers)
- https://forrester.com/report/the-data-clean-room-solutions-landscape-q4-2024/RES181875 (13 answers)
- https://gane.ai/index/gtm/gtm-data/data-clean-rooms (9 answers)
- https://snowflake.com/en/product/features/data-clean-rooms (9 answers)

## Warned against

- LiveRamp Clean Room: 11 of 35 labels 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)
- InfoSum: 10 of 38 labels 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: 9 of 36 labels negative. "not relevant for most B2B data collaboration use cases" (DeepSeek V4 Flash, paraphrase prompt)
- Google Ads Data Hub: 9 of 43 labels 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)

## Movement since October 2026

Floor: 11 points of share, measured on the calibration repeat.
Same leader: Snowflake Data Clean Rooms at 27%.

- Snowflake Data Clean Rooms: 19% to 27%, +8. Inside the floor by 3 points · rank 1 of 101, unchanged.
- InfoSum: 10% to 3%, −7. Inside the floor by 4 points · rank 5 → 7 of 101.
- Google Ads Data Hub: 10% to 15%, +5. Inside the floor by 6 points · rank 4 → 3 of 101.
- AWS Clean Rooms: 15% to 11%, −4. Inside the floor by 7 points · rank 2 → 4 of 101.
- Amazon Marketing Cloud: 14% to 17%, +3. Inside the floor by 8 points · rank 3 → 2 of 101.
- Meta Advanced Analytics: 2% to 5%, +3. Inside the floor by 8 points · rank 14 → 5 of 101.
- Google BigQuery Data Clean Rooms: 3% to 0%, −3. Inside the floor by 8 points · rank 8 → 19 of 101.
- Decentriq: 3% to 0%, −3. Inside the floor by 8 points · rank 7 → 21 of 101.
- Habu: 2% to 0%, −2. Inside the floor by 9 points · rank 12 → 20 of 101.
- Databricks Clean Rooms: 2% to 3%, +1. Inside the floor by 10 points · rank 11 → 6 of 101.
- LiveRamp Clean Room: 2% to 3%, +1. Inside the floor by 10 points · rank 13 → 8 of 101.

## Record

- Method: https://www.gane.ai/index/gtm/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/gtm.