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

DataHub vs Alation

Zero of fourteen models named DataHub first on the direct prompt; zero named Alation. Both were named by all fourteen models and DataHub carries 47 labels and Alation 55, so the shares are not directly comparable.

DataHub

accepted challenger

Named in three categories this edition.

Alation

criticized challenger

Named in four categories this edition.

First-choice share11%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%33%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 16; printed, not drawn.
Labels4755A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, DataHub reading right to left. Rank and label count are printed, not drawn.Atlan was named alongside these two in twelve of the fourteen direct answers. Atlan vs DataHub · Atlan vs Alation · OpenMetadata vs DataHub

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.
DataHubFirst choices, of fourteen modelsAlation
Direct005 against Alation
Paraphrase011 against Alation
Comparative01
Budget-constrained504 against Alation
Scale-constrained202 against DataHub · 2 against Alation
Negative009 against DataHub · 6 against Alation
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, DataHub and Alation were named in the same answer ninety-two times, of the 126 answers naming DataHub and the 171 naming Alation. In those answers Alation took the first choice six times and DataHub six.

Every model, every framing

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

The direct prompt

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

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.
GPT-5.4 miniAtlan alternatives: Alation, DataHub, Dataplex, Microsoft Purview, OpenMetadata, Unity Catalog
Grok 4.20Atlan alternatives: DataHub, OpenMetadata, Secoda, Select Star
DeepSeek V4 FlashOvalEdge, Secoda alternatives: Atlan, DataHub, Select Star

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
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
Mistral SmallAtlan, Secoda
Llama 4 MaverickSecoda alternatives: Atlan, data.world
Qwen 3.7 FlashAtlan, Secoda alternatives: Coalesce Catalog, Microsoft Purview
Kimi K2CastorDoc, Secoda alternatives: Atlan, Select Star
GLM 4.7 FlashXAtlan alternatives: DataGalaxy, Dawiso, OpenMetadata, Zeenea
MiniMax M2.5Secoda alternatives: Atlan
GPT-6 LunaAtlan alternatives: OpenMetadata, Secoda, Your platform's built-in catalog
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
DataHub leads by six points.
DataHub6%#5 of 16
Alation0%#16 of 16
The full small business standing →
Mid-marketThe figures above
DataHub leads by ten points.
DataHub11%#4 of 16
Alation2%#7 of 16
The full mid-market standing →
Enterprise
The order flips: Alation leads at enterprise.
Alation10%#3 of 11
DataHub6%#5 of 11
The full enterprise standing →

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

What the models said about Alation

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight 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
“priced at $60K–$198K+/year and works best with a mature governance program (15+ catalogers)” DeepSeek V4 Flash · direct prompt · hard negative
“Avoid expensive enterprise tools like Collibra ($100k+/year), Alation, and Atlan” DeepSeek V4 Flash · budget prompt · hard negative
“If your priority is user adoption and AI-driven discovery, look toward Alation.” Qwen 3.7 Flash · comparative prompt · first choice
“I'd lean Alation when the goal is fast adoption and cross-functional governance” GPT-5.4 mini · paraphrase prompt · first choice
“Generally Positive (The Standards): Alation, Collibra, Fiddler, and Microsoft Purview (with caveats on complexity) are generally viewed as robust” Qwen 3.7 Flash · negative prompt · alternative
Also compared
Atlan vs DataHubAtlan vs AlationOpenMetadata vs DataHubOpenMetadata vs AlationSecoda vs DataHubSecoda vs AlationDataHub vs Microsoft PurviewDataHub vs OvalEdgeDataHub vs Select StarMicrosoft Purview vs AlationOvalEdge vs AlationAlation 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.