Data catalogs and governance · October 2026 Edition
DataHub vs Select Star
One of fourteen models named DataHub first on the direct prompt; two named Select Star. DataHub was named by twelve of the fourteen models and Select Star by eight and DataHub carries 36 labels and Select Star 12, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate14%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 15; printed, not drawn.
Labels3612A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, DataHub reading right to left. Rank and label count are printed, not drawn.Atlan was named alongside these two in thirteen of the fourteen direct answers. Atlan vs DataHub · Atlan vs Select Star · OpenMetadata vs DataHub
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DataHubFirst choices, of fourteen modelsSelect Star
Direct121 against DataHub
Paraphrase00
Comparative00
Budget-constrained301 against Select Star
Scale-constrained012 against DataHub
Negative002 against DataHub
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where DataHub and Select Star stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | ||||
| 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 | | |
DataHub Select Star first choice named as an alternative argued againstblank: not namedEach cell is one answer, DataHub on the left and Select Star on the right.The direct prompt
The plain question, one answer per model, grouped by where DataHub and Select Star stood in it.
DataHub first, Select Star not the choice
1 of 14 modelsSelect Star was named in the answer but not as the choice, or not at all.GPT-5.4 miniDataHub alternatives: Alation, DataGalaxy
Select Star first, DataHub not the choice
2 of 14 modelsDataHub was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashSelect Star alternatives: Atlan, Coalesce Catalog, OvalEdge, Secoda
GLM 4.7 FlashXAtlan, Secoda, Select Star alternatives: Informatica Intelligent Data Management Cloud, OvalEdge, data.world
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarAtlan alternatives: Alation, OvalEdge, Select Star
DeepSeek V4 FlashSecoda alternatives: Atlan, DataHub
Qwen 3.7 FlashAtlan alternatives: AWS DataZone, DataHub, Google Dataplex, OvalEdge, Seceda
Kimi K2Secoda alternatives: Atlan, OvalEdge, Select Star
Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Atlan alternatives: Alation, OvalEdge
Grok 4.1 FastAtlan alternatives: Alation, OvalEdge, Secoda
Mistral SmallAtlan, OvalEdge
Llama 4 MaverickAtlan
MiniMax M2.5Atlan, Secoda alternatives: Alation, Microsoft Purview
GPT-6 LunaAtlan alternatives: Microsoft Purview, OpenMetadata, Secoda
Muse Glimmer 30BAtlan alternatives: Alation, OvalEdge
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Select Star leads by four points.
Select Star9%#5 of 16DataHub5%#7 of 16Mid-marketThe figures above
The order flips: DataHub leads at mid-market.
DataHub7%#5 of 15Select Star5%#6 of 15Enterprise
Level: the same share of first choices.
DataHub0%#8 of 11Select Star0%#– of 11What the models said about DataHub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for Mid-Market: ... open-source like DataHub/Amundsen (free but needs engineering overhead)” Grok 4.1 Fast · direct prompt · hard negative
“Only choose this if you have a dedicated data platform engineer who has the bandwidth to manage and upgrade the infrastructure.” Gemini 3.5 Flash · scale prompt · soft negative
“While open source options like OpenMetadata and DataHub are credible, they require substantial in-house engineering expertise” Mistral Small · negative 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
“If you have some technical resources, OpenMetadata or DataHub are the best free options.” Mistral Small · budget prompt · first choice
“Best overall low-budget choice: DataHub” GPT-5.4 mini · budget prompt · first choice
What the models said about Select Star
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“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
Also compared
Atlan vs DataHubAtlan vs Select StarOpenMetadata vs DataHubOpenMetadata vs Select StarSecoda vs DataHubSecoda vs Select StarOvalEdge vs DataHubOvalEdge vs Select StarDataHub vs AmundsenDataHub vs Microsoft PurviewSelect Star vs AmundsenSelect Star vs Microsoft PurviewAll twenty-eight head-to-head pages and the full data catalogs standing
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.