Atlan vs Microsoft Purview
Ten of fourteen models named Atlan first on the direct prompt; zero named Microsoft Purview. Atlan was named by fourteen of the fourteen models and Microsoft Purview by thirteen and Atlan carries 58 labels and Microsoft Purview 35, so the shares are not directly comparable.
Named in four categories this edition.
Named in nine 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 October 2026 Edition, Atlan and Microsoft Purview were named in the same answer eighty-four times, of the 184 answers naming Atlan and the 464 naming Microsoft Purview. In those answers Microsoft Purview took the first choice four times and Atlan thirty-two.
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 4.1 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 | | | |
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
10 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
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Atlan11%#3 of 16Microsoft Purview7%#6 of 16Atlan44%#1 of 15Microsoft Purview2%#8 of 15Atlan28%#2 of 11Microsoft Purview6%#4 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 eight in this category shown.
“Options to Avoid ... Commercial tools (Collibra, Alation, Atlan, Select Star)” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid pricier ones like Atlan/Alation ($10k+/year).” Grok 4.1 Fast · budget prompt · hard negative
“a lower-tier hosted catalog like Atlan or DataGalaxy can reduce ops burden, but these are usually not the best fit for a tight budget” GPT-5.4 mini · budget prompt · soft negative
“Atlan is cited as: Gartner recognizes Atlan as a Leader in both the Metadata Management Solutions Magic Quadrant (2025) and, as of 2026, the Magic Quadrant for Data and Analytics Governance Platforms” Muse Glimmer 30B · comparative prompt · first choice
“Atlan is the leading active metadata platform in the current generation of the category and the most commonly shortlisted catalog for cloud-native data stacks in 2026.” Claude Haiku 4.5 · direct prompt · first choice
“Some modern entrants (like Atlan) bridge this gap by offering strong automation but allowing developers to extend functionality via API.” Qwen 3.7 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. One of one in this category shown.
“user feedback and reviews frequently highlight immense friction, spotty lineage, and high database scanning costs when trying to integrate Purview with non-Microsoft environments” Gemini 3.5 Flash · negative prompt · soft negative
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.