Data clean rooms · October 2026 Edition
Decentriq vs Habu
Zero of fourteen models named Decentriq first on the direct prompt; zero named Habu. Decentriq was named by twelve of the fourteen models and Habu by seven and Decentriq carries 28 labels and Habu 14, so the shares are not directly comparable.
Named in one category this edition.
Habu
accepted challengerNamed in two categories this edition.
First-choice share3%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 10; printed, not drawn.
Labels2814A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Decentriq reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms was named alongside these two in eleven of the fourteen direct answers. Snowflake Data Clean Rooms vs Decentriq · Snowflake Data Clean Rooms vs Habu · AWS Clean Rooms vs Decentriq
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; every quote names the model and the prompt it came from. Both figures come from the data clean rooms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DecentriqFirst choices, of fourteen modelsHabuDirect001 against Decentriq · 1 against Habu
Paraphrase21
Comparative00
Budget-constrained002 against Decentriq
Scale-constrained001 against Habu
Negative10
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, Decentriq and Habu were named in the same answer fourteen times, of the 87 answers naming Decentriq and the 52 naming Habu. In those answers Habu took the first choice one time and Decentriq one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Decentriq and Habu stood in it.
| Model | DirectHA | ParaphraseHA | ComparativeHA | Budget-constrainedHA | Scale-constrainedHA | NegativeHA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | HA | |||||
| Gemini 3.5 Flash | | HA | | | HA | HA |
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | |||
| Mistral Small | HA | HA | ||||
| DeepSeek V4 Flash | HA | HA | | HA | ||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | HA | HA | ||||
| GLM 4.7 FlashX | HA | |||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | |
DecentriqHA Habu first choice named as an alternative argued againstblank: not namedEach cell is one answer, Decentriq on the left and Habu on the right.The direct prompt
The plain question, one answer per model, grouped by where Decentriq and Habu stood in it.
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Decentriq, InfoSum, LiveRamp Clean Room
Mistral SmallInfoSum alternatives: Decentriq, Habu, LiveRamp Clean Room
Kimi K2Optable alternatives: Habu, Snowflake Data Clean Rooms
GLM 4.7 FlashXSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate
Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: Apollo.io
GPT-5.4 miniAWS Clean Rooms alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms
Gemini 3.5 FlashCrossbeam alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms
Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room
DeepSeek V4 FlashOptable alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms
Llama 4 MaverickAmazon Marketing Cloud
Qwen 3.7 FlashLiveRamp Clean Room alternatives: Google Ads, Meta Advanced Analytics, Snowflake Data Clean Rooms, The Trade Desk
MiniMax M2.5Amazon Marketing Cloud alternatives: Deciq
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, BigQuery Data Clean Rooms, LiveRamp Clean Room
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, LiveRamp Data Collaboration Platform powered by Habu
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Enterprise
What the models said about Decentriq
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“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
Also compared
Snowflake Data Clean Rooms vs DecentriqSnowflake Data Clean Rooms vs HabuAWS Clean Rooms vs DecentriqAWS Clean Rooms vs HabuAmazon Marketing Cloud vs DecentriqAmazon Marketing Cloud vs HabuInfoSum vs DecentriqInfoSum vs HabuGoogle Ads Data Hub vs DecentriqGoogle Ads Data Hub vs HabuDecentriq vs Databricks Clean RoomsDatabricks Clean Rooms vs HabuAll twenty-eight head-to-head pages and the full data clean rooms standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.