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Data clean rooms · October 2026 Edition

Snowflake Data Clean Rooms vs Decentriq

Six of fourteen models named Snowflake Data Clean Rooms first on the direct prompt; zero named Decentriq. Snowflake Data Clean Rooms was named by fourteen of the fourteen models and Decentriq by twelve and Snowflake Data Clean Rooms carries 52 labels and Decentriq 28, so the shares are not directly comparable.

Snowflake Data Clean Rooms

accepted challenger

By Snowflake Inc., San Mateo, United States, founded 2012. Named in one category this edition.

Decentriq

accepted challenger

Named in one category this edition.

First-choice share19%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 10; printed, not drawn.
Labels5228A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Snowflake Data Clean Rooms reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms vs AWS Clean Rooms · Snowflake Data Clean Rooms vs Amazon Marketing Cloud · Snowflake Data 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.
Snowflake Data Clean RoomsFirst choices, of fourteen modelsDecentriq
Direct601 against Decentriq
Paraphrase32
Comparative50
Budget-constrained103 against Snowflake Data Clean Rooms · 2 against Decentriq
Scale-constrained10
Negative012 against Snowflake Data Clean Rooms
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, Snowflake Data Clean Rooms and Decentriq were named in the same answer sixty times, of the 158 answers naming Snowflake Data Clean Rooms and the 87 naming Decentriq. In those answers Decentriq took the first choice three times and Snowflake Data Clean Rooms twelve.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Snowflake Data Clean Rooms and Decentriq stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Snowflake Data Clean Rooms Decentriq first choice named as an alternative argued againstblank: not namedEach cell is one answer, Snowflake Data Clean Rooms on the left and Decentriq on the right.

The direct prompt

The plain question, one answer per model, grouped by where Snowflake Data Clean Rooms and Decentriq stood in it.

Snowflake Data Clean Rooms first, Decentriq an alternative

6 of 14 modelsDecentriq was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Databricks Clean Rooms, LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: Apollo.io
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
GLM 4.7 FlashXSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Ads Data Hub, Habu, LiveRamp Relate
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

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
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
Mistral SmallInfoSum alternatives: Decentriq, Habu, LiveRamp Clean Room
DeepSeek V4 FlashOptable alternatives: AWS Clean Rooms, Snowflake Data Clean Rooms
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

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAmazon Marketing Cloud
MiniMax M2.5Amazon Marketing Cloud alternatives: Deciq

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
Snowflake Data Clean Rooms leads by three points.
Snowflake Data Clean Rooms5%#4 of 12
Decentriq2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Snowflake Data Clean Rooms leads by fifteen points.
Snowflake Data Clean Rooms19%#1 of 10
Decentriq3%#6 of 10
The full mid-market standing →
Enterprise
Snowflake Data Clean Rooms leads by thirty-one points.
Snowflake Data Clean Rooms38%#1 of 9
Decentriq7%#5 of 9
The full enterprise standing →

What the models said about Snowflake Data Clean Rooms

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Usage-based through Snowflake consumption; costs scale with data volume” Kimi K2 · budget prompt · hard negative
“Cloud-based (e.g., AWS Clean Rooms, Snowflake, Databricks) | Strong infrastructure, but integration complexity and variable TCO” Grok 4.1 Fast · negative prompt · soft negative
“Snowflake and AWS Clean Rooms get reasonable marks when properly configured — but watch for the cost/complexity pitfalls” DeepSeek V4 Flash · negative prompt · soft negative
“Choose Snowflake, Databricks, or AWS if you already have a mature data team, store most of your data in these warehouses” Gemini 3.5 Flash · comparative prompt · first choice
“Start with Snowflake Secure Data Sharing/Clean Rooms. It offers the highest probability of successful collaborations” Qwen 3.7 Flash · paraphrase prompt · first choice
“Choose Snowflake if you are a data-led organization that needs to run complex SQL queries, ensure strict data governance” GLM 4.7 FlashX · comparative 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

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.