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Data catalogs and governance · November 2026 Edition

OpenMetadata vs DataHub

Zero of fourteen models named OpenMetadata first on the direct prompt; zero named DataHub. Both were named by all fourteen models and OpenMetadata carries 38 labels and DataHub 47, so the shares are not directly comparable.

OpenMetadata

accepted challenger

Named in two categories this edition.

DataHub

accepted challenger

Named in three categories this edition.

First-choice share16%11%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 16; printed, not drawn.
Labels3847A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OpenMetadata 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 OpenMetadata · Atlan vs DataHub · OpenMetadata vs Secoda

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.
OpenMetadataFirst choices, of fourteen modelsDataHub
Direct00
Paraphrase00
Comparative00
Budget-constrained105
Scale-constrained021 against OpenMetadata · 2 against DataHub
Negative004 against OpenMetadata · 9 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, OpenMetadata and DataHub were named in the same answer ninety-two times, of the 120 answers naming OpenMetadata and the 126 naming DataHub. In those answers DataHub took the first choice five times and OpenMetadata thirteen.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

6 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
Gemini 3.5 FlashAtlan alternatives: AWS Glue Data Catalog, Acryl Data, CastorDoc, Databricks Unity Catalog, OpenMetadata, Secoda, Select Star, Snowflake Horizon
Grok 4.20Atlan alternatives: DataHub, OpenMetadata, Secoda, Select Star
DeepSeek V4 FlashOvalEdge, Secoda alternatives: Atlan, DataHub, Select Star
GLM 4.7 FlashXAtlan alternatives: DataGalaxy, Dawiso, OpenMetadata, Zeenea
GPT-6 LunaAtlan alternatives: OpenMetadata, Secoda, Your platform's built-in catalog

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
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
MiniMax M2.5Secoda alternatives: Atlan
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
OpenMetadata leads by twelve points.
OpenMetadata19%#2 of 16
DataHub6%#5 of 16
The full small business standing →
Mid-marketThe figures above
OpenMetadata leads by five points.
OpenMetadata16%#2 of 16
DataHub11%#4 of 16
The full mid-market standing →
Enterprise
The order flips: DataHub leads at enterprise.
DataHub6%#5 of 11
OpenMetadata2%#9 of 11
The full enterprise standing →

What the models said about OpenMetadata

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

“Tools like OpenMetadata are popular for their cost, but they carry a specific risk: Operational Overhead.” GLM 4.7 FlashX · 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
“they still require deployment, connector maintenance, upgrades, and customization” Perplexity Sonar · negative prompt · soft negative
“If you have some engineering capacity: Start with OpenMetadata. It offers the best balance of modern features, ease of deployment, and community support for a free tool.” Kimi K2 · budget prompt · first choice
“For a limited budget, OpenMetadata appears to be the best balance of features, ease of use, and zero licensing costs” MiniMax M2.5 · budget prompt · first choice
“likely to be an open-source solution such as OpenMetadata or DataHub, as they offer a cost-effective option” Llama 4 Maverick · budget 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

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.