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Data catalogs and governance · October 2026 Edition

Atlan vs DataHub

Ten of fourteen models named Atlan first on the direct prompt; one named DataHub. Atlan was named by fourteen of the fourteen models and DataHub by twelve and Atlan carries 58 labels and DataHub 36, so the shares are not directly comparable.

Atlan

endorsed leader

Named in four categories this edition.

DataHub

accepted challenger

Named in two categories this edition.

First-choice share44%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 15; printed, not drawn.
Labels5836A 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 modelsDataHub
Direct1011 against DataHub
Paraphrase110
Comparative20
Budget-constrained033 against Atlan
Scale-constrained302 against DataHub
Negative203 against Atlan · 2 against DataHub
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, Atlan and DataHub were named in the same answer seventy-two times, of the 184 answers naming Atlan and the 101 naming DataHub. In those answers DataHub took the first choice three times and Atlan twenty-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Atlan and DataHub 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
Atlan DataHub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atlan on the left and DataHub on the right.

The direct prompt

The plain question, one answer per model, grouped by where Atlan and DataHub stood in it.

Atlan first, DataHub an alternative

10 of 14 modelsDataHub 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

DataHub first, Atlan not the choice

1 of 14 modelsAtlan was named in the answer but not as the choice, or not at all.
GPT-5.4 miniDataHub alternatives: Alation, DataGalaxy

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

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
Atlan leads by five points.
Atlan11%#3 of 16
DataHub5%#7 of 16
The full small business standing →
Mid-marketThe figures above
Atlan leads by thirty-six points.
Atlan44%#1 of 15
DataHub7%#5 of 15
The full mid-market standing →
Enterprise
Atlan leads by twenty-eight points.
Atlan28%#2 of 11
DataHub0%#8 of 11
The full enterprise standing →

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 DataHub

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight 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
“Only choose this if you have a dedicated data platform engineer who has the bandwidth to manage and upgrade the infrastructure.” Gemini 3.5 Flash · scale prompt · soft negative
“While open source options like OpenMetadata and DataHub are credible, they require substantial in-house engineering expertise” Mistral Small · negative 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
“If you have some technical resources, OpenMetadata or DataHub are the best free options.” Mistral Small · budget prompt · first choice
“Best overall low-budget choice: DataHub” GPT-5.4 mini · budget prompt · first choice
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.