Every category where a model named Dagster 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	18%	2 of 86	5%	39	accepted challenger
ETL and ELT	Data platform	0%	17 of 66	0%	7	under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for Dagster 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 Dagster 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	0	2	1	4
Gemini 3.5 Flash	2	2	4	0	8
Perplexity Sonar	1	0	2	0	3
Grok 4.1 Fast	0	2	2	1	5
Mistral Small	1	0	2	0	3
DeepSeek V4 Flash	1	4	0	0	5
Llama 4 Maverick	0	0	2	0	2
Qwen 3.7 Flash	1	1	2	0	4
Kimi K2	1	1	1	0	3
GLM 4.7 FlashX	0	4	1	0	5
MiniMax M2.5	1	0	1	0	2

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

Direct13 labels1

Paraphrase39 labels12

Comparative22 labels1not counted in share

Budget-constrained13 labelsNone

Scale-constrained18 labels1

Negative19 labels1not counted in share

First choiceAlternativeMentionNegative124 labels in all, every segment counted; 14 of the 16 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.

“Ideal for mid-sized B2B firms with strong analytics engineering teams that need to track data lineage and ensure high data quality” Qwen 3.7 Flash · Orchestration · paraphrase prompt · first choice

“Dagster (specifically paired with Dagster+ for managed hosting) is the strongest recommendation” Gemini 3.5 Flash · Orchestration · paraphrase prompt · first choice

“If you want a modern, asset-centric approach and better developer experience, choose Dagster.” Mistral Small · Orchestration · paraphrase prompt · first choice

“If I had to pick one for a typical mid-sized B2B company, I'd choose Dagster” Perplexity Sonar · Orchestration · paraphrase 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.

“Dagster OSS UI lacks auth. Good for assets-focused pipelines, but stick to Airflow if community size matters.” Grok 4.1 Fast · Orchestration · negative prompt · soft negative

“it may be more than you need if your main goal is minimizing cost” GPT-5.4 mini · Orchestration · budget prompt · soft negative

Named alongside

The products named in the same answers as Dagster, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dagster was named but was not.

ProductSame answerTook the first choice insteadHead to head

Apache Airflow118 of 12225Compare →

Prefect110 of 12216Compare →

Temporal52 of 1225Not in the top three

Zapier40 of 1224Not in the top three

n8n39 of 1227Not in the top three

Make35 of 1226Not in the top three

Astronomer Astro35 of 1225Not in the top three

Camunda31 of 1221Not in the top three

Argo Workflows29 of 1220Not in the top three

AWS Step Functions25 of 1220Not 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 Dagster. 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 91 of the 122 answers that named Dagster and are not a share of its labels.

Domains cited

reddit.com39

elementum.ai35

getorchestra.io35

zapier.com35

devopsschool.com31

aimultiple.com26

teamwork.com26

cognism.com25

wrike.com25

enate.io24

301 of the 301 domain citations in answers naming Dagster came from somebody else's page.

Pages cited

elementum.ai/blog/best-workflow-orchestration-tools35

zapier.com/blog/workflow-orchestration-tools34

teamwork.com/blog/workflow-orchestration-tools26

cognism.com/blog/data-orchestration-tools25

wrike.com/workflow-guide/workflow-orchestration-tools25

aimultiple.com/data-orchestration-tools24

enate.io/blog/workflow-orchestration-tools24

datavidhya.com/blog/airflow-vs-dagster-vs-prefect21

Pages are listed as the models cited them.

Names read as Dagster

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

Dagster Space 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 Dagster'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 Dagster, 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 dagster.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.