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.
Named in two categories this edition.
Named in three categories this edition.
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.
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.
| 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 |
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.
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
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
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.