# Decentriq vs Habu: which do AI models recommend for data clean rooms, October 2026

GTM AI Recommendation Index, October 2026 Edition, Data clean rooms. Zero of fourteen models named Decentriq first on the direct prompt; zero named Habu. Page: https://gtm-ai-index.com/gtm-data/data-clean-rooms/decentriq-vs-habu/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Decentriq | 3% | #6 of 10 | 11% | 28 | 12 of 14 |
| Habu | 2% | #8 of 10 | 14% | 14 | 7 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: neither first, one named (first choices: AWS Clean Rooms, Snowflake Data Clean Rooms) (alternatives: Decentriq, InfoSum, LiveRamp Clean Room)
- Mistral Small: neither first, one named (first choices: InfoSum) (alternatives: Decentriq, Habu, LiveRamp Clean Room)
- Kimi K2: neither first, one named (first choices: Optable) (alternatives: Habu, Snowflake Data Clean Rooms)
- GLM 4.7 FlashX: neither first, one named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate)
- Claude Haiku 4.5: neither named (first choices: Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms) (alternatives: Apollo.io)
- GPT-5.4 mini: neither named (first choices: AWS Clean Rooms) (alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms)
- Gemini 3.5 Flash: neither named (first choices: Crossbeam) (alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms)
- Perplexity Sonar: neither named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room)
- DeepSeek V4 Flash: neither named (first choices: Optable) (alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms)
- Llama 4 Maverick: neither named (first choices: Amazon Marketing Cloud)
- Qwen 3.7 Flash: neither named (first choices: LiveRamp Clean Room) (alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk)
- MiniMax M2.5: neither named (first choices: Amazon Marketing Cloud) (alternatives: Deciq)
- GPT-6 Luna: neither named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room)
- Muse Glimmer 30B: neither named (first choices: Snowflake Data Clean Rooms) (alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu)

## What the models said about Decentriq

- "positioned more for regulated or security-heavy use cases, which usually makes it less budget-oriented" (Perplexity Sonar, budget prompt, soft negative)
- "these enterprise-grade platforms are almost always a classic case of over-engineering" (Gemini 3.5 Flash, direct prompt, soft negative)
- "like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible" (Gemini 3.5 Flash, budget prompt, soft negative)
- "neutral, pure-play DCR vendors with hardware-backed privacy ... These include: Decentriq (confidential computing/hardware-backed)" (DeepSeek V4 Flash, negative prompt, first choice)
- "Optable or Decentriq are commonly cited data clean room options" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "I'd suggest starting with either Decentriq or InfoSum" (MiniMax M2.5, paraphrase prompt, first choice)

## What the models said about Habu

- "What to Avoid as a Mid-Market B2B - LiveRamp / Habu: Enterprise-grade" (DeepSeek V4 Flash, direct prompt, hard negative)
- "Only purchase a dedicated independent SaaS DCR (like LiveRamp/Habu) if you have a specific, high-revenue partner usecase lined up" (Gemini 3.5 Flash, scale prompt, soft negative)
- "Top Recommendation: Habu (now LiveRamp Clean Room)" (DeepSeek V4 Flash, paraphrase prompt, first choice)
- "Recognized for its user-friendly interface and ability to handle multiple partnerships and advanced analytics, ideal for mid-market B2B companies." (Mistral Small, direct prompt, alternative)
- "modern integrations like Habu or InfoSum) that allow partners to query and analyze data directly where it already lives" (Gemini 3.5 Flash, negative prompt, alternative)

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; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.