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Data catalogs and governance · October 2026 Edition

OpenMetadata vs Select Star

Zero of fourteen models named OpenMetadata first on the direct prompt; two named Select Star. OpenMetadata was named by thirteen of the fourteen models and Select Star by eight and OpenMetadata carries 27 labels and Select Star 12, so the shares are not directly comparable.

OpenMetadata

accepted challenger

Named in two categories this edition.

Select Star

accepted challenger

Named in one category this edition.

First-choice share18%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 15; printed, not drawn.
Labels2712A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OpenMetadata 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 OpenMetadata · Atlan vs Select Star · OpenMetadata vs Secoda

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.
OpenMetadataFirst choices, of fourteen modelsSelect Star
Direct02
Paraphrase00
Comparative00
Budget-constrained1001 against Select Star
Scale-constrained011 against OpenMetadata
Negative001 against OpenMetadata
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.

Across every category in the October 2026 Edition, OpenMetadata and Select Star were named in the same answer twenty-three times, of the 94 answers naming OpenMetadata and the 40 naming Select Star. In those answers Select Star took the first choice six times and OpenMetadata seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where OpenMetadata and Select Star stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
OpenMetadata Select Star first choice named as an alternative argued againstblank: not namedEach cell is one answer, OpenMetadata on the left and Select Star on the right.

The direct prompt

The plain question, one answer per model, grouped by where OpenMetadata and Select Star stood in it.

Select Star first, OpenMetadata not the choice

2 of 14 modelsOpenMetadata 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

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarAtlan alternatives: Alation, OvalEdge, Select Star
Kimi K2Secoda alternatives: Atlan, OvalEdge, Select Star
GPT-6 LunaAtlan alternatives: Microsoft Purview, OpenMetadata, Secoda

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Atlan alternatives: Alation, OvalEdge
GPT-5.4 miniDataHub alternatives: Alation, DataGalaxy
Grok 4.1 FastAtlan alternatives: Alation, OvalEdge, Secoda
Mistral SmallAtlan, OvalEdge
DeepSeek V4 FlashSecoda alternatives: Atlan, DataHub
Llama 4 MaverickAtlan
Qwen 3.7 FlashAtlan alternatives: AWS DataZone, DataHub, Google Dataplex, OvalEdge, Seceda
MiniMax M2.5Atlan, Secoda alternatives: Alation, Microsoft Purview
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
OpenMetadata leads by nine points.
OpenMetadata18%#1 of 16
Select Star9%#5 of 16
The full small business standing →
Mid-marketThe figures above
OpenMetadata leads by thirteen points.
OpenMetadata18%#2 of 15
Select Star5%#6 of 15
The full mid-market standing →
Enterprise
OpenMetadata leads by four points.
OpenMetadata4%#5 of 11
Select Star0%#– of 11
The full enterprise standing →

What the models said about OpenMetadata

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“While open source options like OpenMetadata and DataHub are credible, they require substantial in-house engineering expertise to deploy, maintain, and scale.” Mistral Small · negative prompt · soft 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
“OpenMetadata is generally the better starting point due to its simpler stack and faster time-to-value.” MiniMax M2.5 · budget prompt · first choice
“OpenMetadata (Best Overall Open Source) ... this is widely considered the best open-source data catalog” GLM 4.7 FlashX · budget prompt · first choice
“The Best All-Around (Open Source): OpenMetadata ... this is currently the top contender.” Qwen 3.7 Flash · 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

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.