Data catalogs and governance · November 2026 Edition
OpenMetadata vs OvalEdge
Zero of fourteen models named OpenMetadata first on the direct prompt; one named OvalEdge. OpenMetadata was named by fourteen of the fourteen models and OvalEdge by seven and OpenMetadata carries 38 labels and OvalEdge 13, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
First-choice share16%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 16; printed, not drawn.
Labels3813A 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 twelve of the fourteen direct answers. Atlan vs OpenMetadata · Atlan vs OvalEdge · 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 modelsOvalEdge
Direct01
Paraphrase01
Comparative00
Budget-constrained100
Scale-constrained001 against OpenMetadata
Negative014 against OpenMetadata · 1 against OvalEdge
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 OpenMetadata and OvalEdge 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 4.20 | | | | |||
| 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 | | | |
OpenMetadata OvalEdge first choice named as an alternative argued againstblank: not namedEach cell is one answer, OpenMetadata on the left and OvalEdge on the right.The direct prompt
The plain question, one answer per model, grouped by where OpenMetadata and OvalEdge stood in it.
OvalEdge first, OpenMetadata not the choice
1 of 14 modelsOpenMetadata was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashOvalEdge, Secoda alternatives: Atlan, DataHub, Select Star
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniAtlan alternatives: Alation, DataHub, Dataplex, Microsoft Purview, OpenMetadata, Unity Catalog
Gemini 3.5 FlashAtlan alternatives: AWS Glue Data Catalog, Acryl Data, CastorDoc, Databricks Unity Catalog, OpenMetadata, Secoda, Select Star, Snowflake Horizon
Perplexity SonarAtlan alternatives: Collibra, Microsoft Purview, OvalEdge, Secoda
Grok 4.20Atlan alternatives: DataHub, OpenMetadata, Secoda, Select Star
GLM 4.7 FlashXAtlan alternatives: DataGalaxy, Dawiso, OpenMetadata, Zeenea
GPT-6 LunaAtlan alternatives: OpenMetadata, Secoda, Your platform's built-in catalog
Muse Glimmer 30BSecoda alternatives: Dataedo, OvalEdge, data.world
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice
Mistral SmallAtlan, Secoda
Llama 4 MaverickSecoda alternatives: Atlan, data.world
Qwen 3.7 FlashAtlan, Secoda alternatives: Coalesce Catalog, Microsoft Purview
Kimi K2CastorDoc, Secoda alternatives: Atlan, Select Star
MiniMax M2.5Secoda alternatives: Atlan
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 seventeen points.
OpenMetadata19%#2 of 16OvalEdge2%#7 of 16Mid-marketThe figures above
OpenMetadata leads by thirteen points.
OpenMetadata16%#2 of 16OvalEdge3%#6 of 16Enterprise
OpenMetadata leads by two points.
OpenMetadata2%#9 of 11OvalEdge0%#– of 11What the models said about OpenMetadata
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Tools like OpenMetadata are popular for their cost, but they carry a specific risk: Operational Overhead.” GLM 4.7 FlashX · negative prompt · soft negative
“plus OpenMetadata or DataHub if you're willing to take on more of the operational and engineering work” GPT-6 Luna · scale prompt · soft negative
“they still require deployment, connector maintenance, upgrades, and customization” Perplexity Sonar · negative prompt · soft negative
“If you have some engineering capacity: Start with OpenMetadata. It offers the best balance of modern features, ease of deployment, and community support for a free tool.” Kimi K2 · budget prompt · first choice
“For a limited budget, OpenMetadata appears to be the best balance of features, ease of use, and zero licensing costs” MiniMax M2.5 · budget prompt · first choice
“likely to be an open-source solution such as OpenMetadata or DataHub, as they offer a cost-effective option” Llama 4 Maverick · budget prompt · first choice
What the models said about OvalEdge
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“mentioned as being "criticized challengers" or having negative reviews” Llama 4 Maverick · negative prompt · soft negative
“Cloud-native independent platforms (e.g., Atlan, Secoda, OvalEdge) for faster time-to-value” Kimi K2 · negative prompt · first choice
“Secoda or OvalEdge offer the best balance of capability, cost, and time-to-value” DeepSeek V4 Flash · direct prompt · first choice
“Best Overall Recommendation: OvalEdge” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared
Atlan vs OpenMetadataAtlan vs OvalEdgeOpenMetadata vs SecodaOpenMetadata vs DataHubOpenMetadata vs Microsoft PurviewOpenMetadata vs AlationOpenMetadata vs Select StarSecoda vs OvalEdgeDataHub vs OvalEdgeMicrosoft Purview vs OvalEdgeOvalEdge vs AlationOvalEdge vs Select StarAll 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.