Every category where a model named dbt 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
ETL and ELT	Data platform	0%	10 of 66	0%	39	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for dbt yet. 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 dbt across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	2	2
GPT-5.4 mini	0	2	0	2
Gemini 3.5 Flash	2	3	1	6
Perplexity Sonar	0	2	0	2
Grok 4.1 Fast	0	3	1	4
Mistral Small	0	2	2	4
DeepSeek V4 Flash	0	5	0	5
Llama 4 Maverick	0	2	0	2
Qwen 3.7 Flash	0	2	2	4
Kimi K2	0	3	0	3
GLM 4.7 FlashX	0	4	0	4
MiniMax M2.5	0	1	0	1

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

Direct14 labelsNone

Paraphrase24 labels1

Comparative15 labels1not counted in share

Budget-constrained11 labelsNone

Scale-constrained12 labelsNone

Negative11 labels1not counted in share

First choiceAlternativeMentionNegative87 labels in all, every segment counted; 1 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.

“Transform (T): Use dbt (data build tool) or SQLMesh to write version-controlled, testable SQL” Gemini 3.5 Flash · ETL · negative prompt · first choice

“Choose Fivetran + dbt if you are building a modern, cloud-native warehouse” Gemini 3.5 Flash · ETL · comparative prompt · first choice

“more flexible/code-friendly approaches (e.g., dbt + Python, Airbyte, or Airflow) are increasingly preferred” DeepSeek V4 Flash · ETL · negative prompt · alternative

“Other affordable options include Stitch, Airbyte + dbt Core, Altova MapForce, and Integrate.io.” Llama 4 Maverick · ETL · 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.

No model argued against it.

Named alongside

The products named in the same answers as dbt, over the 86 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and dbt was named but was not.

ProductSame answerTook the first choice insteadHead to head

Fivetran78 of 8633Not in the top three

Airbyte74 of 8625Not in the top three

Stitch39 of 865Not in the top three

Talend39 of 860Not in the top three

Hevo Data38 of 866Not in the top three

Matillion36 of 862Not in the top three

Apache Airflow36 of 860Not in the top three

Integrate.io27 of 866Not in the top three

AWS Glue23 of 860Not in the top three

Azure Data Factory23 of 860Not 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 dbt. 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 60 of the 86 answers that named dbt and are not a share of its labels.

Domains cited

integrate.io41

hevodata.com38

fivetran.com29

airbyte.com27

datacamp.com26

skyvia.com25

estuary.dev22

dataquest.io19

solutionsreview.com17

sqream.com16

260 of the 260 domain citations in answers naming dbt came from somebody else's page.

Pages cited

datacamp.com/blog/a-list-of-the-16-best-etl-tools-and-why-to-choose-them26

integrate.io/blog/top-7-etl-tools25

dataquest.io/blog/etl-tools-practical-guide-with-examples19

sqream.com/blog/best-etl-tools16

fivetran.com/learn/etl-tools15

stacksync.com/blog/26-best-etl-tools-2025-curated-list14

estuary.dev/blog/etl-tools-list13

weld.app/blog/etl-tools-compared13

Pages are listed as the models cited them.

Names read as dbt

What the judge wrote, as written, with how often. The vendor table decides that these count as dbt; a claim can dispute any of them.

dbt (Data Build Tool) 5dbt Cloud 4dbt Core 3dbt (data build tool) 2Airbyte + dbt Core 1Fivetran + dbt Cloud 1

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 dbt'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 dbt, 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 getdbt.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.