Data clean rooms · October 2026 Edition
Databricks Clean Rooms vs Habu
One of fourteen models named Databricks Clean Rooms first on the direct prompt; zero named Habu. Databricks Clean Rooms was named by twelve of the fourteen models and Habu by seven and Databricks Clean Rooms carries 27 labels and Habu 14, so the shares are not directly comparable.
By Databricks, San Francisco, United States, founded 2013. Named in one category this edition.
Habu
accepted challengerNamed in two categories this edition.
First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 10; printed, not drawn.
Labels2714A 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 eleven of the fourteen direct answers. Snowflake Data Clean Rooms vs Databricks Clean Rooms · Snowflake Data Clean Rooms vs Habu · AWS Clean Rooms 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 modelsHabuDirect101 against Databricks Clean Rooms · 1 against Habu
Paraphrase01
Comparative10
Budget-constrained00
Scale-constrained001 against Habu
Negative003 against Databricks 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, Databricks Clean Rooms and Habu were named in the same answer sixteen times, of the 73 answers naming Databricks Clean Rooms and the 52 naming Habu. In those answers Habu took the first choice zero times and Databricks Clean Rooms zero.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Databricks Clean Rooms 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 | |
Databricks Clean RoomsHA Habu first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Clean Rooms on the left and Habu on the right.The direct prompt
The plain question, one answer per model, grouped by where Databricks Clean Rooms and Habu stood in it.
Databricks Clean Rooms first, Habu not the choice
1 of 14 modelsHabu 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
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.GPT-5.4 miniAWS Clean Rooms alternatives: Acxiom, Databricks Clean Rooms, Snowflake Data Clean Rooms
Mistral SmallInfoSum alternatives: Decentriq, Habu, 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.Gemini 3.5 FlashCrossbeam alternatives: Amazon Marketing Cloud, Google Ads Data Hub, Salesforce Data Cloud DCR, Snowflake Data Clean Rooms
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
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.
Databricks Clean Rooms0%#10 of 12Habu0%#12 of 12
The full small business standing →Mid-marketThe figures above
Level: the same share of first choices.
Databricks Clean Rooms2%#7 of 10Habu2%#8 of 10
The full mid-market standing →Enterprise
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 eight in this category shown.
“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
“Some concerns about identity resolution rules not being well-documented” Kimi K2 · negative prompt · soft negative
“user reviews of Databricks Clean Rooms have scored poorly here” DeepSeek V4 Flash · negative prompt · soft negative
“Snowflake, Databricks, and LiveRamp Safe Haven provide balanced scalability and governance support.” Claude Haiku 4.5 · direct prompt · first choice
“Choose Snowflake, Databricks, or AWS if you already have a mature data team” Gemini 3.5 Flash · comparative prompt · first choice
“If your data ecosystem is built on Databricks, their Delta Sharing and Unity Catalog offer a similar, highly secure distributed data clean room experience.” Gemini 3.5 Flash · paraphrase prompt · alternative
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 Databricks Clean RoomsSnowflake Data Clean Rooms vs HabuAWS Clean Rooms vs Databricks Clean RoomsAWS Clean Rooms vs HabuAmazon Marketing Cloud vs Databricks Clean RoomsAmazon Marketing Cloud vs HabuInfoSum vs Databricks Clean RoomsInfoSum vs HabuGoogle Ads Data Hub vs Databricks Clean RoomsGoogle Ads Data Hub vs HabuDecentriq 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.