# Select Star vs Amundsen: which do AI models recommend for data catalogs, October 2026

IT AI Recommendation Index, October 2026 Edition, Data catalogs and governance. Two of fourteen models named Select Star first on the direct prompt; zero named Amundsen. Page: https://it-ai-index.com/it-data/data-catalogs-and-governance/select-star-vs-amundsen/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Select Star | 5% | #6 of 15 | 8% | 12 | 8 of 14 |
| Amundsen | 4% | #7 of 15 | 33% | 12 | 7 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: select star first (first choices: Select Star) (alternatives: Atlan, Coalesce Catalog, OvalEdge, Secoda)
- GLM 4.7 FlashX: select star first (first choices: Atlan, Secoda, Select Star) (alternatives: Informatica Intelligent Data Management Cloud, OvalEdge, data.world)
- Perplexity Sonar: neither first, one named (first choices: Atlan) (alternatives: Alation, OvalEdge, Select Star)
- Kimi K2: neither first, one named (first choices: Secoda) (alternatives: Atlan, OvalEdge, Select Star)
- Claude Haiku 4.5: neither named (first choices: Atlan) (alternatives: Alation, OvalEdge)
- GPT-5.4 mini: neither named (first choices: DataHub) (alternatives: Alation, DataGalaxy)
- Grok 4.1 Fast: neither named (first choices: Atlan) (alternatives: Alation, OvalEdge, Secoda)
- Mistral Small: neither named (first choices: Atlan, OvalEdge)
- DeepSeek V4 Flash: neither named (first choices: Secoda) (alternatives: Atlan, DataHub)
- Llama 4 Maverick: neither named (first choices: Atlan)
- Qwen 3.7 Flash: neither named (first choices: Atlan) (alternatives: AWS DataZone, DataHub, Google Dataplex, OvalEdge, Seceda)
- MiniMax M2.5: neither named (first choices: Atlan, Secoda) (alternatives: Alation, Microsoft Purview)
- GPT-6 Luna: neither named (first choices: Atlan) (alternatives: Microsoft Purview, OpenMetadata, Secoda)
- Muse Glimmer 30B: neither named (first choices: Atlan) (alternatives: Alation, OvalEdge)

## What the models said about Select Star

- "Options to Avoid ... Commercial tools (Collibra, Alation, Atlan, Select Star)" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Secoda and Select Star are incredibly fast to stand up (1–2 weeks) and highly intuitive for lean teams." (Gemini 3.5 Flash, scale prompt, first choice)
- "the sweet spot tools are Select Star (fast, automated, SMB‑friendly)" (GLM 4.7 FlashX, direct prompt, first choice)
- "Best Overall for Automated Lineage & Ease of Use: Select Star" (Gemini 3.5 Flash, direct prompt, first choice)

## What the models said about Amundsen

- "Avoid for Mid-Market: ... open-source like DataHub/Amundsen (free but needs engineering overhead)" (Grok 4.1 Fast, direct prompt, hard negative)
- "Amundsen (Lyft) — archived and no longer maintained as of 2026, so don't build on it" (DeepSeek V4 Flash, budget prompt, hard negative)
- "have lower license costs but require significant DevOps effort to install, maintain, and keep running" (Qwen 3.7 Flash, scale prompt, soft negative)
- "likely to be an open-source tool such as Amundsen or DataHub, which are suitable for on-premise environments" (Llama 4 Maverick, budget prompt, first choice)
- "Best ultra-lean choice: Amundsen" (GPT-5.4 mini, budget prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.