Atlan vs Secoda
Eight of fourteen models named Atlan first on the direct prompt; seven named Secoda. Atlan was named by fourteen of the fourteen models and Secoda by thirteen and Atlan carries 57 labels and Secoda 26, so the shares are not directly comparable.
Named in five 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
AtlanFirst choices, of fourteen modelsSecoda
Across every category in the November 2026 Edition, Atlan and Secoda were named in the same answer sixty-three times, of the 178 answers naming Atlan and the 81 naming Secoda. In those answers Secoda took the first choice sixteen times and Atlan eleven.
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 | | | |
Atlan Secoda first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atlan on the left and Secoda on the right.The direct prompt
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Atlan first, Secoda an alternative
6 of 14 modelsSecoda was named in the answer but not as the choice, or not at all.Secoda first, Atlan an alternative
5 of 14 modelsAtlan was named in the answer but not as the choice, or not at all.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
Atlan35%#1 of 16Secoda13%#3 of 16What the models said about Atlan
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven 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
“Avoid expensive enterprise tools like Collibra ($100k+/year), Alation, and Atlan at this stage” DeepSeek V4 Flash · budget prompt · hard negative
“far more practical than paid tools like Alation, Collibra, or Atlan” Grok 4.20 · budget prompt · soft negative
“Consider OpenMetadata (if you have engineering capacity) or Atlan (a modern, lighter alternative often praised for better UX and AI features) to start.” GLM 4.7 FlashX · negative prompt · first choice
“If you are multi-cloud / Snowflake / Databricks / modern SaaS data and want fast adoption with AI context and a business-friendly catalog: Atlan.” Muse Glimmer 30B · paraphrase prompt · first choice
“Modern / Active Metadata Platforms (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 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.