Data catalogs and governance · November 2026 Edition
DataHub vs OvalEdge
Zero of fourteen models named DataHub first on the direct prompt; one named OvalEdge. DataHub was named by fourteen of the fourteen models and OvalEdge by seven and DataHub carries 47 labels and OvalEdge 13, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories this edition.
First-choice share11%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 16; printed, not drawn.
Labels4713A 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 OvalEdge · 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 modelsOvalEdge
Direct01
Paraphrase01
Comparative00
Budget-constrained50
Scale-constrained202 against DataHub
Negative019 against DataHub · 1 against OvalEdge
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 DataHub and OvalEdge stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 OvalEdge first choice named as an alternative argued againstblank: not namedEach cell is one answer, DataHub on the left and OvalEdge on the right.The direct prompt
The plain question, one answer per model, grouped by where DataHub and OvalEdge stood in it.
OvalEdge first, DataHub an alternative
1 of 14 modelsDataHub was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashOvalEdge, Secoda alternatives: Atlan, DataHub, Select Star
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.GPT-5.4 miniAtlan alternatives: Alation, DataHub, Dataplex, Microsoft Purview, OpenMetadata, Unity Catalog
Perplexity SonarAtlan alternatives: Collibra, Microsoft Purview, OvalEdge, Secoda
Grok 4.20Atlan alternatives: DataHub, OpenMetadata, Secoda, Select Star
Muse Glimmer 30BSecoda alternatives: Dataedo, OvalEdge, data.world
Neither was named
9 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
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
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 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 OvalEdge
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“mentioned as being "criticized challengers" or having negative reviews” Llama 4 Maverick · negative prompt · soft negative
“Cloud-native independent platforms (e.g., Atlan, Secoda, OvalEdge) for faster time-to-value” Kimi K2 · negative prompt · first choice
“Secoda or OvalEdge offer the best balance of capability, cost, and time-to-value” DeepSeek V4 Flash · direct prompt · first choice
“Best Overall Recommendation: OvalEdge” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared
Atlan vs DataHubAtlan vs OvalEdgeOpenMetadata vs DataHubOpenMetadata vs OvalEdgeSecoda vs DataHubSecoda vs OvalEdgeDataHub vs Microsoft PurviewDataHub vs AlationDataHub vs Select StarMicrosoft Purview vs OvalEdgeOvalEdge vs AlationOvalEdge 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.