Every category where a model named Prefect 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
Workflow orchestration	Data platform	24%	1 of 86	2%	48	accepted challenger
ETL and ELT	Data platform	0%	20 of 66	0%	5	under 10 labels · led by Airbyte at 32%

Movement

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	1	0	2
GPT-5.4 mini	1	2	2	0	5
Gemini 3.5 Flash	3	2	4	0	9
Perplexity Sonar	0	2	1	0	3
Grok 4.1 Fast	2	2	1	1	6
Mistral Small	0	2	1	0	3
DeepSeek V4 Flash	1	4	0	0	5
Llama 4 Maverick	0	0	2	0	2
Qwen 3.7 Flash	2	1	3	0	6
Kimi K2	1	1	1	0	3
GLM 4.7 FlashX	1	3	2	0	6
MiniMax M2.5	1	1	1	0	3

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

Direct15 labels4

Paraphrase32 labels12

Comparative26 labels4not counted in share

Budget-constrained24 labels8

Scale-constrained22 labels3

Negative22 labels1not counted in share

First choiceAlternativeMentionNegative141 labels in all, every segment counted; 27 of the 32 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.

“For most startups and growing companies today, Prefect (self-hosted) offers the best balance of power and low maintenance effort” Qwen 3.7 Flash · Orchestration · budget prompt · first choice

“Developer‑first, Python‑native orchestration | Prefect | Free self‑host; low learning curve; 60–70% cost savings vs Airflow.” GLM 4.7 FlashX · Orchestration · budget prompt · first choice

“I'd lean toward Prefect as the best balance of modern features, ease of use, and operational overhead” Kimi K2 · Orchestration · paraphrase prompt · first choice

“Prefect (Best Overall for Python-Centric Teams) ... is arguably the most cost-effective choice.” Gemini 3.5 Flash · Orchestration · budget prompt · first choice

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.

“thinner docs/StackOverflow support (harder troubleshooting), confusing concepts” Grok 4.1 Fast · Orchestration · negative prompt · soft negative

Named alongside

The products named in the same answers as Prefect, over the 139 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Prefect was named but was not.

ProductSame answerTook the first choice insteadHead to head

Apache Airflow129 of 13924Compare →

Dagster110 of 1397Compare →

Temporal64 of 1395Not in the top three

n8n54 of 13910Not in the top three

Zapier54 of 1397Not in the top three

Make46 of 1399Not in the top three

Camunda40 of 1392Not in the top three

Astronomer Astro35 of 1394Not in the top three

Argo Workflows34 of 1390Not in the top three

AWS Step Functions29 of 1390Not 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 Prefect. 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 102 of the 139 answers that named Prefect and are not a share of its labels.

Domains cited

zapier.com47

reddit.com45

elementum.ai44

getorchestra.io38

teamwork.com38

wrike.com38

devopsschool.com31

enate.io28

aimultiple.com23

cognism.com23

355 of the 355 domain citations in answers naming Prefect came from somebody else's page.

Pages cited

zapier.com/blog/workflow-orchestration-tools45

elementum.ai/blog/best-workflow-orchestration-tools44

teamwork.com/blog/workflow-orchestration-tools38

wrike.com/workflow-guide/workflow-orchestration-tools38

enate.io/blog/workflow-orchestration-tools27

cognism.com/blog/data-orchestration-tools23

devopsschool.com/blog/top-10-workflow-orchestration-tools-features-pros-cons-comparison23

aimultiple.com/data-orchestration-tools21

Pages are listed as the models cited them.

Names read as Prefect

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

Prefect (Open Source) 1Prefect Core 1Prefect/Temporal 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 Prefect'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 Prefect, 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 prefect.io 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.