Data clean rooms · October 2026 Edition
InfoSum vs Habu
One of fourteen models named InfoSum first on the direct prompt; zero named Habu. InfoSum was named by fourteen of the fourteen models and Habu by seven and InfoSum carries 39 labels and Habu 14, so the shares are not directly comparable.
Named in three categories this edition.
Habu
accepted challengerNamed in two categories this edition.
First-choice share10%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 10; printed, not drawn.
Labels3914A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, InfoSum 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 InfoSum · Snowflake Data Clean Rooms vs Habu · AWS Clean Rooms vs InfoSum
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.
InfoSumFirst choices, of fourteen modelsHabuDirect103 against InfoSum · 1 against Habu
Paraphrase511 against InfoSum
Comparative001 against InfoSum
Budget-constrained004 against InfoSum
Scale-constrained001 against Habu
Negative00
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, InfoSum and Habu were named in the same answer forty-one times, of the 119 answers naming InfoSum and the 52 naming Habu. In those answers Habu took the first choice two times and InfoSum two.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where InfoSum 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 | |
InfoSumHA Habu first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfoSum on the left and Habu on the right.The direct prompt
The plain question, one answer per model, grouped by where InfoSum and Habu stood in it.
InfoSum first, Habu an alternative
1 of 14 modelsHabu was named in the answer but not as the choice, or not at all.Mistral SmallInfoSum alternatives: Decentriq, Habu, LiveRamp Clean Room
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.Perplexity SonarSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Clean Room
Grok 4.1 FastAWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Decentriq, InfoSum, 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
9 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
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
Level: the same share of first choices.
InfoSum0%#11 of 12Habu0%#12 of 12
The full small business standing →Mid-marketThe figures above
Enterprise
What the models said about InfoSum
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid enterprise SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.1 Fast · budget prompt · hard negative
“pricing and complexity are often overkill for mid-market needs” DeepSeek V4 Flash · direct prompt · hard negative
“like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible, as licensing fees for these platforms often run in the tens or hundreds of thousands of dollars annually” Gemini 3.5 Flash · budget prompt · soft negative
“InfoSum – Praised for its flexible collaboration capabilities and suitability for mid-market needs, without requiring enterprise-scale resources.” Mistral Small · direct prompt · first choice
“I would recommend InfoSum as a privacy-safe data collaboration platform for a mid-sized B2B company.” Llama 4 Maverick · paraphrase prompt · first choice
“I would recommend InfoSum if your priority is privacy-safe data collaboration with partners” Perplexity Sonar · 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 InfoSumSnowflake Data Clean Rooms vs HabuAWS Clean Rooms vs InfoSumAWS Clean Rooms vs HabuAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs HabuInfoSum vs Google Ads Data HubInfoSum vs DecentriqInfoSum vs Databricks Clean RoomsGoogle Ads Data Hub vs HabuDecentriq vs HabuDatabricks 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.