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Data clean rooms · November 2026 Edition

Databricks Clean Rooms vs InfoSum

One of fourteen models named Databricks Clean Rooms first on the direct prompt; one named InfoSum. Databricks Clean Rooms was named by thirteen of the fourteen models and InfoSum by fourteen and Databricks Clean Rooms carries 26 labels and InfoSum 38, so the shares are not directly comparable.

Databricks Clean Rooms

accepted challenger

By Databricks, San Francisco, United States, founded 2013. Named in one category this edition.

InfoSum

criticized challenger

Named in three categories this edition.

First-choice share3%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 11; printed, not drawn.
Labels2638A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Databricks Clean Rooms reading right to left. Rank and label count are printed, not drawn.Snowflake Data Clean Rooms was named alongside these two in thirteen of the fourteen direct answers. Snowflake Data Clean Rooms vs Databricks Clean Rooms · Snowflake Data Clean Rooms vs InfoSum · Amazon Marketing Cloud vs Databricks Clean Rooms

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.
Databricks Clean RoomsFirst choices, of fourteen modelsInfoSum
Direct111 against Databricks Clean Rooms · 2 against InfoSum
Paraphrase111 against Databricks Clean Rooms
Comparative01
Budget-constrained001 against Databricks Clean Rooms · 5 against InfoSum
Scale-constrained00
Negative113 against InfoSum
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 November 2026 Edition, Databricks Clean Rooms and InfoSum were named in the same answer forty-six times, of the 74 answers naming Databricks Clean Rooms and the 109 naming InfoSum. In those answers InfoSum took the first choice five times and Databricks Clean Rooms two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Databricks Clean Rooms and InfoSum stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Databricks Clean Rooms InfoSum first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Clean Rooms on the left and InfoSum on the right.

The direct prompt

The plain question, one answer per model, grouped by where Databricks Clean Rooms and InfoSum stood in it.

Databricks Clean Rooms first, InfoSum an alternative

1 of 14 modelsInfoSum was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashDatabricks Clean Rooms, Snowflake Data Clean Rooms alternatives: Google BigQuery Data Clean Rooms, Habu, InfoSum

InfoSum first, Databricks Clean Rooms not the choice

1 of 14 modelsDatabricks Clean Rooms was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution

Neither was the first choice, one was named

5 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, Databricks Clean Rooms, LiveRamp Clean Room
Kimi K2AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum
MiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Google Ads Data Hub
GPT-5.4 miniSnowflake Data Clean Rooms alternatives: AWS Clean Rooms
Grok 4.20Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Google Cloud BigQuery or Ads Data Hub, LiveRamp Clean Room
Mistral SmallSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, LiveRamp Clean Room
DeepSeek V4 FlashSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, LiveRamp Clean Room
Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms

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.
Databricks Clean Rooms0%#13 of 13
InfoSum0%#12 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Databricks Clean Rooms3%#6 of 11
InfoSum3%#7 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Databricks Clean Rooms6%#5 of 11
InfoSum6%#4 of 11
The full enterprise standing →

What the models said about Databricks Clean Rooms

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

“Databricks requires data to live in Databricks storage or an accessible cloud bucket, which can add setup complexity” GPT-5.4 mini · budget prompt · soft negative
“Strong for advanced analytics if you're in that ecosystem, but steeper learning curve for mid-market teams.” Grok 4.20 · direct prompt · soft negative
“more accessible than heavy engineering-heavy options like raw Databricks or AWS Clean Rooms” Grok 4.20 · paraphrase prompt · soft negative
“Databricks Clean Rooms is generally the most flexible for mid-size companies needing cross-cloud, privacy-policy governed collaboration with full audit logs.” Muse Glimmer 30B · paraphrase prompt · first choice
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)” DeepSeek V4 Flash · negative prompt · first choice
“start with your primary Cloud Data Warehouse's native DCR (typically Snowflake DCR or Databricks Clean Rooms)” Gemini 3.5 Flash · direct prompt · first choice

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.

“the $50k–$100k+ annual licensing fee for neutral enterprise tools (e.g., LiveRamp, InfoSum) won't deliver a positive ROI” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid enterprise platforms initially: Skip InfoSum, Habu, or LiveRamp” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid Snowflake, LiveRamp, InfoSum, or Decentriq” Perplexity Sonar · budget prompt · hard negative
“Prefer neutral, interoperable platforms (like Snowflake, Databricks, AWS Clean Rooms, InfoSum, or independent providers)” DeepSeek V4 Flash · negative prompt · first choice
“For broad collaboration across ecosystems: LiveRamp or InfoSum.” Grok 4.20 · comparative prompt · first choice
“Top Pick: InfoSum ... Highest level of security compliance” Qwen 3.7 Flash · direct 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.