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Index › Products › Apache Atlas · October 2026 Edition
1 category · Ranked

Apache Atlas

43Judge labels
2First choices
17Negative labels
11 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in Data catalogs for mid-market buyers
Rank 9 of 83 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 33% of its 15 labels there were negative.
What the models named instead of Apache Atlas →
By buyer segmentRead the same way at every buyer size.
In data catalogs · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Apache Atlas for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Data catalogs and governanceData platform2%9 of 8333%15criticized challenger

Movement

This is the first edition on this tier, so no move can be computed for Apache Atlas yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Apache Atlas across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar10001
Grok 4.1 Fast00123
Mistral Small00202
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00112
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500202
GPT-6 Luna00000
Muse Glimmer 30B00011

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct2 labelsNone
Paraphrase4 labels1
Comparative10 labelsNone
Budget-constrained15 labels1
Scale-constrained3 labelsNone
Negative9 labels1not counted in share
First choiceAlternativeMentionNegative43 labels in all, every segment counted; 2 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Best overall budget pick: Apache Atlas if your team can support self-hosting and customization” Perplexity Sonar · Data catalogs · budget prompt · first choice
“Tools like Apache Atlas, Alation's community edition (if available), or OpenMetadata offer robust functionality without licensing costs” Claude Haiku 4.5 · Data catalogs · budget prompt · alternative
“Best for: Organizations already running Hadoop ecosystems” Kimi K2 · Data catalogs · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Older/Legacy (e.g., Talend, Apache Atlas) | Scalability limits, outdated UI, Hadoop-centric; avoid for modern AI/data stacks.” Grok 4.1 Fast · Data catalogs · negative prompt · hard negative
“The user interface (UI) is dated and clunky compared to DataHub or OpenMetadata. Adoption has declined” Qwen 3.7 Flash · Data catalogs · budget prompt · soft negative
“it is a Hadoop-era tool and less active than OpenMetadata/DataHub for modern cloud warehouses” Muse Glimmer 30B · Data catalogs · budget prompt · soft negative
“Free, good for Hadoop ecosystems, but dated UI and narrower scope.” Grok 4.1 Fast · Data catalogs · budget prompt · soft negative

Named alongside

The products named in the same answers as Apache Atlas, over the 43 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Apache Atlas was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Collibra31 of 434Not among the top eight
Alation30 of 436Not among the top eight
DataHub26 of 431Not among the top eight
OpenMetadata23 of 439Not among the top eight
Atlan22 of 435Not among the top eight
Microsoft Purview20 of 431Not among the top eight
Informatica Intelligent Data Management Cloud16 of 431Not among the top eight
Secoda15 of 435Not among the top eight
AWS Glue Data Catalog14 of 430Not among the top eight
Select Star11 of 433Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Apache Atlas. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 35 of the 43 answers that named Apache Atlas and are not a share of its labels.

Domains cited

atlan.com32
kanerika.com23
ovaledge.com22
decube.io15
data.world12
datatrail.ai9
fastero.com9
g2.com9
alation.com8
basedash.com8

No domain is on file for Apache Atlas, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Apache Atlas stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
480 a month (“apache atlas”)
AI search demand for its name, est.
11 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
2%
rank 9 of 83 in data catalogs
Segment leader
44%
Atlan
First choices
2 across its categories
Named in
43 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Apache Atlas

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

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Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Apache Atlas's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Apache Atlas, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Apache Atlas by email, built from the raw record of the edition. It shows:

  • where Apache Atlas is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Apache Atlas, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.