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Index › IT › Data platform › Data catalogs › Atlan vs DataHub
Data catalogs and governance · November 2026 Edition

Atlan vs DataHub

Eight of fourteen models named Atlan first on the direct prompt; zero named DataHub. Both were named by all fourteen models and Atlan carries 57 labels and DataHub 47, so the shares are not directly comparable.

Atlan

endorsed leader

Named in five categories this edition.

DataHub

accepted challenger

Named in three categories this edition.

First-choice share35%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 16; printed, not drawn.
Labels5747A 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.Secoda was named alongside these two in eleven of the fourteen direct answers. Atlan vs OpenMetadata · Atlan vs Secoda · Atlan vs Microsoft Purview

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
Direct80
Paraphrase90
Comparative00
Budget-constrained053 against Atlan
Scale-constrained522 against DataHub
Negative309 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 November 2026 Edition, Atlan and DataHub were named in the same answer eighty-nine times, of the 178 answers naming Atlan and the 126 naming DataHub. In those answers DataHub took the first choice five times and Atlan twenty-three.

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 4.20
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 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

8 of 14 modelsDataHub was named in the answer but not as the choice, or not at all.
GPT-5.4 miniAtlan alternatives: Alation, DataHub, Dataplex, Microsoft Purview, OpenMetadata, Unity Catalog
Gemini 3.5 FlashAtlan alternatives: AWS Glue Data Catalog, Acryl Data, CastorDoc, Databricks Unity Catalog, OpenMetadata, Secoda, Select Star, Snowflake Horizon
Perplexity SonarAtlan alternatives: Collibra, Microsoft Purview, OvalEdge, Secoda
Grok 4.20Atlan alternatives: DataHub, OpenMetadata, Secoda, Select Star
Mistral SmallAtlan, Secoda
Qwen 3.7 FlashAtlan, Secoda alternatives: Coalesce Catalog, Microsoft Purview
GLM 4.7 FlashXAtlan alternatives: DataGalaxy, Dawiso, OpenMetadata, Zeenea
GPT-6 LunaAtlan alternatives: OpenMetadata, Secoda, Your platform's built-in catalog

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.
DeepSeek V4 FlashOvalEdge, Secoda alternatives: Atlan, DataHub, Select Star
Llama 4 MaverickSecoda alternatives: Atlan, data.world
Kimi K2CastorDoc, Secoda alternatives: Atlan, Select Star
MiniMax M2.5Secoda alternatives: Atlan

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Muse Glimmer 30BSecoda alternatives: Dataedo, OvalEdge, data.world

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 two points.
Atlan8%#4 of 16
DataHub6%#5 of 16
The full small business standing →
Mid-marketThe figures above
Atlan leads by twenty-four points.
Atlan35%#1 of 16
DataHub11%#4 of 16
The full mid-market standing →
Enterprise
Atlan leads by seventeen points.
Atlan23%#2 of 11
DataHub6%#5 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 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 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.

“Clunky/difficult interface compared to commercial alternatives ... Open-source options (DataHub) viable but require engineering investment” MiniMax M2.5 · negative prompt · soft negative
“Open-source or niche tools (like DataHub, Amundsen, Marquez) Caution level: Low-to-moderate (only if you lack engineering resources)” DeepSeek V4 Flash · negative prompt · soft negative
“plus OpenMetadata or DataHub if you're willing to take on more of the operational and engineering work” GPT-6 Luna · scale prompt · soft negative
“The Heavyweight Champion: DataHub ... is generally considered the most mature and widely adopted open-source data catalog” Qwen 3.7 Flash · budget prompt · first choice
“Mid-market solutions (Atlan, select, DataHub) often fit better than enterprise-only tools (Collibra) at this scale” Kimi K2 · scale prompt · first choice
“Strongest fit for ~500 employees): *Examples:* Atlan, Select Star, Secoda, CastorDoc, DataHub (Cloud/Acryl Data).” Gemini 3.5 Flash · scale prompt · first choice
Also compared
Atlan vs OpenMetadataAtlan vs SecodaAtlan vs Microsoft PurviewAtlan vs OvalEdgeAtlan vs AlationAtlan vs Select StarOpenMetadata vs DataHubSecoda vs DataHubDataHub vs Microsoft PurviewDataHub vs OvalEdgeDataHub vs AlationDataHub vs Select StarAll 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.