Data clean rooms · October 2026 Edition
InfoSum vs Decentriq
One of fourteen models named InfoSum first on the direct prompt; zero named Decentriq. InfoSum was named by fourteen of the fourteen models and Decentriq by twelve and InfoSum carries 39 labels and Decentriq 28, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
First-choice share10%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 10; printed, not drawn.
Labels3928A 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 Decentriq · 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 modelsDecentriq
Direct103 against InfoSum · 1 against Decentriq
Paraphrase521 against InfoSum
Comparative001 against InfoSum
Budget-constrained004 against InfoSum · 2 against Decentriq
Scale-constrained00
Negative01
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 Decentriq were named in the same answer fifty-eight times, of the 119 answers naming InfoSum and the 87 naming Decentriq. In those answers Decentriq took the first choice three times and InfoSum five.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where InfoSum and Decentriq stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | ||||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | |
InfoSum Decentriq first choice named as an alternative argued againstblank: not namedEach cell is one answer, InfoSum on the left and Decentriq on the right.The direct prompt
The plain question, one answer per model, grouped by where InfoSum and Decentriq stood in it.
InfoSum first, Decentriq an alternative
1 of 14 modelsDecentriq 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
2 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
Neither was named
11 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
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
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
Decentriq leads by two points.
Decentriq2%#7 of 12InfoSum0%#11 of 12Mid-marketThe figures above
The order flips: InfoSum leads at mid-market.
InfoSum10%#4 of 10Decentriq3%#6 of 10Enterprise
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 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
Also compared
Snowflake Data Clean Rooms vs InfoSumSnowflake Data Clean Rooms vs DecentriqAWS Clean Rooms vs InfoSumAWS Clean Rooms vs DecentriqAmazon Marketing Cloud vs InfoSumAmazon Marketing Cloud vs DecentriqInfoSum vs Google Ads Data HubInfoSum vs Databricks Clean RoomsInfoSum vs HabuGoogle Ads Data Hub vs DecentriqDecentriq vs Databricks Clean RoomsDecentriq 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.