Data catalogs and governance · November 2026 Edition
Atlan vs OvalEdge
Eight of fourteen models named Atlan first on the direct prompt; one named OvalEdge. Atlan was named by fourteen of the fourteen models and OvalEdge by seven and Atlan carries 57 labels and OvalEdge 13, so the shares are not directly comparable.
Named in five categories this edition.
Named in three categories this edition.
First-choice share35%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 16; printed, not drawn.
Labels5713A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Atlan reading right to left. Rank and label count are printed, not drawn.Secoda was named alongside these two in eleven of the fourteen direct answers. Atlan vs OpenMetadata · Atlan vs Secoda · Atlan 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.
AtlanFirst choices, of fourteen modelsOvalEdge
Direct81
Paraphrase91
Comparative00
Budget-constrained003 against Atlan
Scale-constrained50
Negative311 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 Atlan 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 | | | |
Atlan OvalEdge first choice named as an alternative argued againstblank: not namedEach cell is one answer, Atlan on the left and OvalEdge on the right.The direct prompt
The plain question, one answer per model, grouped by where Atlan and OvalEdge stood in it.
Atlan first, OvalEdge an alternative
8 of 14 modelsOvalEdge was named in the answer but not as the choice, or not at all.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
Mistral SmallAtlan, Secoda
Qwen 3.7 FlashAtlan, Secoda alternatives: Coalesce Catalog, Microsoft Purview
GLM 4.7 FlashXAtlan alternatives: DataGalaxy, Dawiso, OpenMetadata, Zeenea
GPT-6 LunaAtlan alternatives: OpenMetadata, Secoda, Your platform's built-in catalog
OvalEdge first, Atlan an alternative
1 of 14 modelsAtlan 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
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Llama 4 MaverickSecoda alternatives: Atlan, data.world
Kimi K2CastorDoc, Secoda alternatives: Atlan, Select Star
MiniMax M2.5Secoda alternatives: Atlan
Muse Glimmer 30BSecoda alternatives: Dataedo, OvalEdge, data.world
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice
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
Mid-marketThe figures above
Enterprise
What the models said about Atlan
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
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 SecodaAtlan vs DataHubAtlan vs Microsoft PurviewAtlan vs AlationAtlan vs Select StarOpenMetadata vs OvalEdgeSecoda 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.