OpenMetadata vs Secoda
Zero of fourteen models named OpenMetadata first on the direct prompt; seven named Secoda. OpenMetadata was named by fourteen of the fourteen models and Secoda by thirteen and OpenMetadata carries 38 labels and Secoda 26, so the shares are not directly comparable.
Named in two categories this edition.
Named in two 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.
By framing
OpenMetadataFirst choices, of fourteen modelsSecoda
Across every category in the November 2026 Edition, OpenMetadata and Secoda were named in the same answer fifty-six times, of the 120 answers naming OpenMetadata and the 81 naming Secoda. In those answers Secoda took the first choice seventeen times and OpenMetadata nine.
Every model, every framing
| 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 | | |
OpenMetadata Secoda first choice named as an alternative argued againstblank: not namedEach cell is one answer, OpenMetadata on the left and Secoda on the right.The direct prompt
Secoda first, OpenMetadata not the choice
7 of 14 modelsOpenMetadata was named in the answer but not as the choice, or not at all.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.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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
OpenMetadata19%#2 of 16Secoda19%#1 of 16OpenMetadata16%#2 of 16Secoda13%#3 of 16OpenMetadata2%#9 of 11Secoda2%#8 of 11What 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 Secoda
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“mentioned as being "criticized challengers" or having negative reviews” Llama 4 Maverick · negative prompt · soft negative
“If you want the cheapest, fastest adoption with AI-assisted search, Secoda is the most common mid-market recommendation today.” Muse Glimmer 30B · direct prompt · first choice
“Secoda is frequently highlighted as the strongest recommendation for most mid-market B2B companies” Mistral Small · direct prompt · first choice
“Strongest fit for ~500 employees): *Examples:* Atlan, Select Star, Secoda, CastorDoc, DataHub” 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.