Atlan vs Microsoft Purview
Eight of fourteen models named Atlan first on the direct prompt; zero named Microsoft Purview. Both were named by all fourteen models and Atlan carries 57 labels and Microsoft Purview 42, so the shares are not directly comparable.
Named in five categories this edition.
Named in eleven categories this edition.
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 catalogs and governance page.
By framing
AtlanFirst choices, of fourteen modelsMicrosoft Purview
Across every category in the November 2026 Edition, Atlan and Microsoft Purview were named in the same answer 101 times, of the 178 answers naming Atlan and the 562 naming Microsoft Purview. In those answers Microsoft Purview took the first choice four times and Atlan twenty-seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| 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 | | |
Atlan Microsoft Purview first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atlan on the left and Microsoft Purview on the right.The direct prompt
Atlan first, Microsoft Purview an alternative
8 of 14 modelsMicrosoft Purview was named in the answer but not as the choice, or not at all.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.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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
Atlan8%#4 of 16Microsoft Purview6%#6 of 16Atlan35%#1 of 16Microsoft Purview3%#5 of 16Atlan23%#2 of 11Microsoft Purview4%#6 of 11What the models said about Atlan
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“What to Avoid ... Enterprise tools like Collibra, Alation, or Atlan — Excellent products, but typically cost $50K–$200K+ annually.” Kimi K2 · budget prompt · hard negative
“Avoid expensive enterprise tools like Collibra ($100k+/year), Alation, and Atlan at this stage” DeepSeek V4 Flash · budget prompt · hard negative
“far more practical than paid tools like Alation, Collibra, or Atlan” Grok 4.20 · budget prompt · soft negative
“Consider OpenMetadata (if you have engineering capacity) or Atlan (a modern, lighter alternative often praised for better UX and AI features) to start.” GLM 4.7 FlashX · negative prompt · first choice
“If you are multi-cloud / Snowflake / Databricks / modern SaaS data and want fast adoption with AI context and a business-friendly catalog: Atlan.” Muse Glimmer 30B · paraphrase prompt · first choice
“Modern / Active Metadata Platforms (Strongest fit for ~500 employees): *Examples:* Atlan, Select Star, Secoda, CastorDoc, DataHub (Cloud/Acryl Data).” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Microsoft Purview
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Microsoft Purview (in non-Microsoft environments)” Mistral Small · negative prompt · hard negative
“If you are Microsoft 365 / Azure / Fabric first and want governance + security + compliance with minimal overhead: Microsoft Purview Suite for Business Premium.” Muse Glimmer 30B · paraphrase prompt · first choice
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.