Eight of fourteen models named Atlan first on the direct prompt; zero named Select Star. Atlan was named by fourteen of the fourteen models and Select Star by eight and Atlan carries 57 labels and Select Star 12, so the shares are not directly comparable.
Named in five categories this edition.
Named in one category 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, Atlan and Select Star were named in the same answer thirty-six times, of the 178 answers naming Atlan and the 47 naming Select Star. In those answers Select Star took the first choice nine times and Atlan four.
| 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 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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Strongest fit for ~500 employees): *Examples:* Atlan, Select Star, Secoda, CastorDoc, DataHub” Gemini 3.5 Flash · scale prompt · first choice
“Best for Lean Teams & Quick Time-to-Value: Select Star, Secoda, or CastorDoc” Gemini 3.5 Flash · direct prompt · alternative
“Modern, lightweight SaaS catalogs (e.g., Atlan, Select Star, CastorDoc, Secoda)” Gemini 3.5 Flash · negative prompt · alternative
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.