GTM AI Index
Index Vendors › Collibra · September 2026 Edition
1 category · Ranked

Collibra

33Judge labels
0First choices
12Negative labels
11 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
0% in DMP for enterprise buyers
Rank 35 of 183 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 11% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In dmp · 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 Collibra 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 rateLabelsQuadrant
Data management platformsGTM data and infrastructure0%35 of 18311%9under 10 labels · led by Segment at 18%

Movement

This is the first edition on this tier, so no move can be computed for Collibra yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Collibra across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast02002
Mistral Small01001
DeepSeek V4 Flash01012
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative20 labels1not counted in share
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative12 labelsNone
First choiceAlternativeMentionNegative33 labels in all, every segment counted; 0 of the 1 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.

“Safer Bets: Look at highly rated ones like Collibra, Informatica, or Databricks (strong governance/lineage)” Grok 4.1 Fast · DMP · negative prompt · alternative
“Governance / catalog / compliance: Collibra or Microsoft Purview.” Perplexity Sonar · DMP · comparative prompt · alternative
“Governance/catalog: Microsoft Purview, Collibra, Atlan” DeepSeek V4 Flash · DMP · comparative prompt · alternative
“Strong governance and business process alignment.” GPT-5.4 mini · DMP · comparative 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.

“resource-intensive, complex to implement, and carries real vendor lock-in risk” DeepSeek V4 Flash · DMP · negative prompt · soft negative

Named alongside

The products named in the same answers as Collibra, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Collibra was named but was not.
ProductSame answerTook the first choice insteadHead to head
Alation22 of 330Not in the top three
Snowflake21 of 337Not in the top three
BigQuery19 of 333Not in the top three
Databricks17 of 335Not in the top three
Fivetran17 of 331Not in the top three
Microsoft Purview14 of 330Not in the top three
Informatica IDMC11 of 331Not in the top three
Atlan10 of 330Not in the top three
Talend10 of 330Not in the top three
dbt10 of 330Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Collibra. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 9 of the 33 answers that named Collibra and are not a share of its labels.

Domains cited

fortegrp.com6
improvado.io5
matillion.com5
domo.com4
gitnux.org4
alation.com3
estuary.dev3
g2.com3
gartner.com3
integrate.io3

Thirty-nine of the thirty-nine domain citations in answers naming Collibra came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Collibra.
Website
collibra.com
Headquarters
Belgium
Founded
2008

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

Is this your product?

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 Collibra'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 Collibra, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at collibra.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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