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Data clean rooms · November 2026 Edition
Meta Advanced Analytics vs Databricks Clean Rooms
Zero of fourteen models named Meta Advanced Analytics first on the direct prompt; one named Databricks Clean Rooms. Meta Advanced Analytics was named by twelve of the fourteen models and Databricks Clean Rooms by thirteen and both carry 26 labels, so the shares below are directly comparable.
Meta Advanced Analytics
accepted challengerBy Meta Platforms, Menlo Park, United States, founded 2004. Named in one category this edition.
By Databricks, San Francisco, United States, founded 2013. Named in one category this edition.
First-choice share5%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 11; printed, not drawn.
Labels2626Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Meta Advanced Analytics 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 Meta Advanced Analytics · Snowflake Data Clean Rooms vs Databricks Clean Rooms · Amazon Marketing Cloud vs Meta Advanced Analytics
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.
Meta Advanced AnalyticsFirst choices, of fourteen modelsDatabricks Clean Rooms
Direct011 against Databricks Clean Rooms
Paraphrase011 against Databricks Clean Rooms
Comparative00
Budget-constrained301 against Meta Advanced Analytics · 1 against Databricks Clean Rooms
Scale-constrained002 against Meta Advanced Analytics
Negative013 against Meta Advanced Analytics
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, Meta Advanced Analytics and Databricks Clean Rooms were named in the same answer twenty-three times, of the 57 answers naming Meta Advanced Analytics and the 74 naming Databricks Clean Rooms. In those answers Databricks Clean Rooms took the first choice zero times and Meta Advanced Analytics two.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Meta Advanced Analytics and Databricks Clean Rooms stood in it.
| Model | DirectMA | ParaphraseMA | ComparativeMA | Budget-constrainedMA | Scale-constrainedMA | NegativeMA |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | MA | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | MA | |||
| Perplexity Sonar | | | MA | |||
| Grok 4.20 | | | MA | |||
| Mistral Small | MA | |||||
| DeepSeek V4 Flash | MA | MA | MA | | ||
| Llama 4 Maverick | MA | MA | ||||
| Qwen 3.7 Flash | MA | |||||
| Kimi K2 | MA | MA | ||||
| GLM 4.7 FlashX | MA | |||||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | MA | MA |
MA Meta Advanced Analytics Databricks Clean RoomsMA first choiceMA named as an alternativeMA argued againstblank: not namedEach cell is one answer, Meta Advanced Analytics on the left and Databricks Clean Rooms on the right.
Databricks Clean RoomsMA first choiceMA named as an alternativeMA argued againstblank: not namedEach cell is one answer, Meta Advanced Analytics on the left and Databricks Clean Rooms on the right.The direct prompt
The plain question, one answer per model, grouped by where Meta Advanced Analytics and Databricks Clean Rooms stood in it.
Databricks Clean Rooms first, Meta Advanced Analytics not the choice
1 of 14 modelsMeta Advanced Analytics 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
Neither was the first choice, one was named
3 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
Llama 4 MaverickGoogle Ads Data Hub alternatives: AWS Clean Rooms, Amazon Marketing Cloud, Meta Advanced Analytics, Snowflake Data Clean Rooms
GPT-6 LunaSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, Databricks Clean Rooms
Neither was named
10 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
Qwen 3.7 FlashGravic Clean Room, InfoSum, Snowflake Data Exchange / Partner Extensions alternatives: Salesforce Identity Resolution
Kimi K2AWS Clean Rooms, Snowflake Data Clean Rooms alternatives: Amazon Marketing Cloud, Crossbeam, Google Ads Data Hub, InfoSum
GLM 4.7 FlashXCrossbeam alternatives: Google Ads Data Hub, Snowflake Data Clean Rooms
MiniMax M2.5LiveRamp Safe Haven, Snowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum
Muse Glimmer 30BSnowflake Data Clean Rooms alternatives: AWS Clean Rooms, InfoSum, LiveRamp Safe Haven
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
Meta Advanced Analytics leads by five points.
Meta Advanced Analytics5%#6 of 13
Databricks Clean Rooms0%#13 of 13Mid-marketThe figures above
Meta Advanced Analytics leads by two points.
Meta Advanced Analytics5%#5 of 11
Databricks Clean Rooms3%#6 of 11Enterprise
The order flips: Databricks Clean Rooms leads at enterprise.
Databricks Clean Rooms6%#5 of 11Meta Advanced Analytics0%#11 of 11
The full enterprise standing →What the models said about Meta Advanced Analytics
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to approach with caution: Native clean rooms operated by major media platforms (e.g., Google Ads Data Hub, Amazon Marketing Cloud, Meta Advanced Analytics)” Gemini 3.5 Flash · negative prompt · soft negative
“Walled Gardens: Google, Meta, Amazon—if most of your spend is there, but they limit cross-platform insights.” Grok 4.20 · scale prompt · soft negative
“Meta's history of data misuse is repeatedly cited as a reason to be cautious with its clean room offerings.” Muse Glimmer 30B · negative prompt · soft negative
“likely to be a free walled-garden option such as Google Ads Data Hub, Amazon Marketing Cloud, or Meta Advanced Analytics” Llama 4 Maverick · budget prompt · first choice
“Google, Amazon, and Meta each run a clean room that costs nothing in licence fees” Claude Haiku 4.5 · budget prompt · first choice
“Meta Advanced Analytics (currently in beta)” Mistral Small · budget prompt · first choice
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
Also compared
Snowflake Data Clean Rooms vs Meta Advanced AnalyticsSnowflake Data Clean Rooms vs Databricks Clean RoomsAmazon Marketing Cloud vs Meta Advanced AnalyticsAmazon Marketing Cloud vs Databricks Clean RoomsGoogle Ads Data Hub vs Meta Advanced AnalyticsGoogle Ads Data Hub vs Databricks Clean RoomsAWS Clean Rooms vs Meta Advanced AnalyticsAWS Clean Rooms vs Databricks Clean RoomsMeta Advanced Analytics vs InfoSumMeta Advanced Analytics vs LiveRamp Clean RoomDatabricks Clean Rooms vs InfoSumDatabricks Clean Rooms vs LiveRamp Clean RoomAll 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.