Data catalogs and governance · October 2026 Edition
Atlan vs Amundsen
Ten of fourteen models named Atlan first on the direct prompt; zero named Amundsen. Atlan was named by fourteen of the fourteen models and Amundsen by seven and Atlan carries 58 labels and Amundsen 12, so the shares are not directly comparable.
Named in four categories this edition.
Amundsen
criticized challengerNamed in one category this edition.
First-choice share44%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%33%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 15; printed, not drawn.
Labels5812A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Atlan reading right to left. Rank and label count are printed, not drawn.OvalEdge was named alongside these two in nine of the fourteen direct answers. Atlan vs OpenMetadata · Atlan vs Secoda · Atlan vs OvalEdge
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.
AtlanFirst choices, of fourteen modelsAmundsenDirect1001 against Amundsen
Paraphrase110
Comparative20
Budget-constrained023 against Atlan · 1 against Amundsen
Scale-constrained301 against Amundsen
Negative203 against Atlan · 1 against Amundsen
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 Atlan and Amundsen stood in it.
| Model | DirectAM | ParaphraseAM | ComparativeAM | Budget-constrainedAM | Scale-constrainedAM | NegativeAM |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | AM | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | AM | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | AM | | |
| Llama 4 Maverick | | | AM | |||
| Qwen 3.7 Flash | | | AM | AM | ||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | |
AtlanAM Amundsen first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atlan on the left and Amundsen on the right.The direct prompt
The plain question, one answer per model, grouped by where Atlan and Amundsen stood in it.
Atlan first, Amundsen not the choice
10 of 14 modelsAmundsen was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Atlan alternatives: Alation, OvalEdge
Perplexity SonarAtlan alternatives: Alation, OvalEdge, Select Star
Grok 4.1 FastAtlan alternatives: Alation, OvalEdge, Secoda
Mistral SmallAtlan, OvalEdge
Llama 4 MaverickAtlan
Qwen 3.7 FlashAtlan alternatives: AWS DataZone, DataHub, Google Dataplex, OvalEdge, Seceda
GLM 4.7 FlashXAtlan, Secoda, Select Star alternatives: Informatica Intelligent Data Management Cloud, OvalEdge, data.world
MiniMax M2.5Atlan, Secoda alternatives: Alation, Microsoft Purview
GPT-6 LunaAtlan alternatives: Microsoft Purview, OpenMetadata, Secoda
Muse Glimmer 30BAtlan alternatives: Alation, OvalEdge
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.Gemini 3.5 FlashSelect Star alternatives: Atlan, Coalesce Catalog, OvalEdge, Secoda
DeepSeek V4 FlashSecoda alternatives: Atlan, DataHub
Kimi K2Secoda alternatives: Atlan, OvalEdge, Select Star
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniDataHub alternatives: Alation, DataGalaxy
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
Mid-marketThe figures above
Enterprise
What 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 Amundsen
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Avoid for Mid-Market: ... open-source like DataHub/Amundsen (free but needs engineering overhead)” Grok 4.1 Fast · direct prompt · hard negative
“Amundsen (Lyft) — archived and no longer maintained as of 2026, so don't build on it” DeepSeek V4 Flash · budget prompt · hard negative
“have lower license costs but require significant DevOps effort to install, maintain, and keep running” Qwen 3.7 Flash · scale prompt · soft negative
“likely to be an open-source tool such as Amundsen or DataHub, which are suitable for on-premise environments” Llama 4 Maverick · budget prompt · first choice
“Best ultra-lean choice: Amundsen” GPT-5.4 mini · budget prompt · first choice
Also compared
Atlan vs OpenMetadataAtlan vs SecodaAtlan vs OvalEdgeAtlan vs DataHubAtlan vs Select StarAtlan vs Microsoft PurviewOpenMetadata vs AmundsenSecoda vs AmundsenOvalEdge vs AmundsenDataHub vs AmundsenSelect Star vs AmundsenAmundsen vs Microsoft PurviewAll twenty-eight head-to-head pages and the full data catalogs 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.