# Habu: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 23 judge labels across 4 categories by 10 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/habu

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data clean rooms](https://www.gane.ai/index/gtm/gtm-data/data-clean-rooms/index.md) | 0% | 20 | 26% | 19 |
| [Data management platforms](https://www.gane.ai/index/gtm/gtm-data/data-management-platforms/index.md) | 0% | 53 | 0% | 2 |
| [Attribution and marketing mix modeling](https://www.gane.ai/index/gtm/marketing/attribution-mmm/index.md) | 0% | 96 | 0% | 1 |
| [Audience and consumer insights platforms](https://www.gane.ai/index/gtm/marketing/audience-and-consumer-insights/index.md) | 0% | 91 | 0% | 1 |

## What the models said for it

- "If advertising/marketing is core to your business, look seriously at LiveRamp/Habu for network scale and activation capabilities" (DeepSeek V4 Flash, Data clean rooms)
- "If partner cross-cloud compatibility or non-technical user access becomes a major bottleneck, evaluate Habu." (Gemini 3.5 Flash, Data clean rooms)
- "Cloud-agnostic, runs on Snowflake (and other clouds), strong automation of privacy governance" (DeepSeek V4 Flash, Data clean rooms)
- "Choose Habu if your focus is marketing and advertising workflows with partner activation." (MiniMax M2.5, Data clean rooms)

## And against it

- "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, Data clean rooms)
- "Why Avoid Traditional Vendors Right Now? ... these are likely out of budget for a limited-fund operation." (Qwen 3.7 Flash, Data clean rooms)
- "Skip InfoSum, Habu, or LiveRamp (which range from $50K–$500K/year)" (DeepSeek V4 Flash, Data clean rooms)
- "these are often more enterprise-oriented and may be less budget-friendly depending on scope and contracts" (GPT-5.4 mini, Data clean rooms)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 1 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 2 | 2 | 1 | 5 |
| Mistral Small | 0 | 0 | 3 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 3 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Habu, from 52 of the 61 answers that named it (only the models that return a source list).

### Domains cited

- liveramp.com: 24
- forrester.com: 19
- aws.amazon.com: 18
- digitalapplied.com: 18
- decentriq.com: 17
- data-axle.com: 16
- docs.snowflake.com: 15
- idc.com: 14
- snowflake.com: 14
- g2.com: 13

### Pages cited

- https://liveramp.com/blog/what-to-look-for-in-a-data-clean-room-provider-a-guide: 20
- https://digitalapplied.com/blog/data-clean-rooms-advertising-2026-marketer-decision-guide: 18
- https://forrester.com/report/the-data-clean-room-solutions-landscape-q4-2024/RES181875: 16
- https://data-axle.com/resources/blog/data-clean-rooms-explained-marketers: 15
- https://guideflow.com/blog/data-clean-room-software: 12
- https://decentriq.com/article/data-clean-rooms-compared: 11
- https://rajeshkumar.xyz/blog/data-clean-rooms: 11
- https://scmgalaxy.com/tutorials/top-10-data-clean-rooms-features-pros-cons-comparison: 11

## 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.