# Habu alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 237 of the 252 answers in the 1 category where Habu holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/gtm/vendors/habu/alternatives

## Named instead, most often (every category and segment added)

- Snowflake Data Clean Rooms: 55
- AWS Clean Rooms: 32
- Amazon Marketing Cloud: 18
- Google Ads Data Hub: 18
- Crossbeam: 16
- Decentriq: 9

## Data clean rooms

**Small business**: 81 of 84 answers did not name Habu (Habu is #11 of 13 at 2%).

- AWS Clean Rooms: first choice in 19 of those 81
- Crossbeam: first choice in 14 of those 81
- Google Ads Data Hub: first choice in 8 of those 81
- Amazon Marketing Cloud: first choice in 7 of those 81
- Snowflake Data Clean Rooms: first choice in 7 of those 81
- Decentriq: first choice in 3 of those 81
- Meta Advanced Analytics: first choice in 3 of those 81
- AppsFlyer: first choice in 2 of those 81

**Mid-market**: 77 of 84 answers did not name Habu (Habu is #10 of 11 at 0%).

- Snowflake Data Clean Rooms: first choice in 18 of those 77
- Amazon Marketing Cloud: first choice in 11 of those 77
- Google Ads Data Hub: first choice in 10 of those 77
- AWS Clean Rooms: first choice in 8 of those 77
- InfoSum: first choice in 3 of those 77
- Meta Advanced Analytics: first choice in 3 of those 77
- Crossbeam: first choice in 2 of those 77
- Databricks Clean Rooms: first choice in 2 of those 77

**Enterprise**: 79 of 84 answers did not name Habu (Habu is #8 of 11 at 0%).

- Snowflake Data Clean Rooms: first choice in 30 of those 79
- Decentriq: first choice in 6 of those 79
- AWS Clean Rooms: first choice in 5 of those 79
- InfoSum: first choice in 4 of those 79
- Databricks Clean Rooms: first choice in 2 of those 79
- Google BigQuery Data Clean Rooms: first choice in 2 of those 79
- Microsoft Teams: first choice in 2 of those 79
- DataMoon Clean Room: first choice in 1 of those 79

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.