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Data catalogs and governance · October 2026 Edition

Select Star vs Microsoft Purview

Two of fourteen models named Select Star first on the direct prompt; zero named Microsoft Purview. Select Star was named by eight of the fourteen models and Microsoft Purview by thirteen and Select Star carries 12 labels and Microsoft Purview 35, so the shares are not directly comparable.

Select Star

accepted challenger

Named in one category this edition.

Microsoft Purview

accepted challenger

Named in nine categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 15; printed, not drawn.
Labels1235A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Select Star reading right to left. Rank and label count are printed, not drawn.Atlan was named alongside these two in thirteen of the fourteen direct answers. Atlan vs Select Star · Atlan vs Microsoft Purview · OpenMetadata vs Select Star

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Select StarFirst choices, of fourteen modelsMicrosoft Purview
Direct20
Paraphrase01
Comparative00
Budget-constrained001 against Select Star
Scale-constrained10
Negative005 against Microsoft Purview
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Select Star and Microsoft Purview stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Select Star Microsoft Purview first choice named as an alternative argued againstblank: not namedEach cell is one answer, Select Star on the left and Microsoft Purview on the right.

The direct prompt

The plain question, one answer per model, grouped by where Select Star and Microsoft Purview stood in it.

Select Star first, Microsoft Purview not the choice

2 of 14 modelsMicrosoft Purview was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashSelect Star alternatives: Atlan, Coalesce Catalog, OvalEdge, Secoda
GLM 4.7 FlashXAtlan, Secoda, Select Star alternatives: Informatica Intelligent Data Management Cloud, OvalEdge, data.world

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.
Perplexity SonarAtlan alternatives: Alation, OvalEdge, Select Star
Kimi K2Secoda alternatives: Atlan, OvalEdge, Select Star
MiniMax M2.5Atlan, Secoda alternatives: Alation, Microsoft Purview
GPT-6 LunaAtlan alternatives: Microsoft Purview, OpenMetadata, Secoda

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Atlan alternatives: Alation, OvalEdge
GPT-5.4 miniDataHub alternatives: Alation, DataGalaxy
Grok 4.1 FastAtlan alternatives: Alation, OvalEdge, Secoda
Mistral SmallAtlan, OvalEdge
DeepSeek V4 FlashSecoda alternatives: Atlan, DataHub
Llama 4 MaverickAtlan
Qwen 3.7 FlashAtlan alternatives: AWS DataZone, DataHub, Google Dataplex, OvalEdge, Seceda
Muse Glimmer 30BAtlan alternatives: Alation, OvalEdge

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
Select Star leads by two points.
Select Star9%#5 of 16
Microsoft Purview7%#6 of 16
The full small business standing →
Mid-marketThe figures above
Select Star leads by four points.
Select Star5%#6 of 15
Microsoft Purview2%#8 of 15
The full mid-market standing →
Enterprise
The order flips: Microsoft Purview leads at enterprise.
Microsoft Purview6%#4 of 11
Select Star0%#– of 11
The full enterprise standing →

What the models said about Select Star

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

“Options to Avoid ... Commercial tools (Collibra, Alation, Atlan, Select Star)” DeepSeek V4 Flash · budget prompt · hard negative
“Secoda and Select Star are incredibly fast to stand up (1–2 weeks) and highly intuitive for lean teams.” Gemini 3.5 Flash · scale prompt · first choice
“the sweet spot tools are Select Star (fast, automated, SMB‑friendly)” GLM 4.7 FlashX · direct prompt · first choice
“Best Overall for Automated Lineage & Ease of Use: Select Star” Gemini 3.5 Flash · direct 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
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.