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Workflow orchestration · October 2026 Edition

Dagster vs n8n

Zero of fourteen models named Dagster first on the direct prompt; one named n8n. Dagster was named by fourteen of the fourteen models and n8n by eleven and Dagster carries 50 labels and n8n 28, so the shares are not directly comparable.

Dagster

accepted challenger

Named in three categories this edition.

n8n

accepted challenger

Named in five categories this edition.

First-choice share14%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 14; printed, not drawn.
Labels5028A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dagster reading right to left. Rank and label count are printed, not drawn.Make was named alongside these two in nine of the fourteen direct answers. Prefect vs Dagster · Prefect vs n8n · Apache Airflow vs Dagster

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the workflow orchestration page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DagsterFirst choices, of fourteen modelsn8n
Direct01
Paraphrase601 against Dagster
Comparative10
Budget-constrained07
Scale-constrained203 against n8n
Negative103 against Dagster · 1 against n8n
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Dagster and n8n were named in the same answer forty-six times, of the 161 answers naming Dagster and the 121 naming n8n. In those answers n8n took the first choice ten times and Dagster two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Dagster and n8n stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Dagster n8n first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dagster on the left and n8n on the right.

The direct prompt

The plain question, one answer per model, grouped by where Dagster and n8n stood in it.

n8n first, Dagster not the choice

1 of 14 modelsDagster was named in the answer but not as the choice, or not at all.
DeepSeek V4 Flashn8n alternatives: Microsoft Power Automate, Zapier

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Make, Zapier alternatives: Prefect, n8n
GPT-5.4 miniPrefect alternatives: Apache Airflow, Dagster, Temporal
Gemini 3.5 FlashMake, Prefect alternatives: Astronomer Astro, Dagster, Workato, n8n
Perplexity SonarWorkato alternatives: HubSpot workflows, Make, SnapLogic, Zapier, n8n
Grok 4.1 FastMake, Zapier alternatives: Apache Airflow, Microsoft Power Automate, Prefect, Tray.io, n8n
Kimi K2Make alternatives: Tray.io, Workato, n8n
GLM 4.7 FlashXMake alternatives: Zapier, n8n
GPT-6 LunaWorkato alternatives: Make, Prefect, Temporal, n8n

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallHubSpot Marketing Hub alternatives: Kissflow, Microsoft Power Automate, Revo, Tray.io
Llama 4 MaverickKissflow alternatives: HubSpot Marketing Hub, Microsoft Power Automate
Qwen 3.7 FlashMake alternatives: Kissflow, Microsoft Power Automate, Native HubSpot Workflows, Nintex
MiniMax M2.5Microsoft Power Automate, Tray.io alternatives: Zapier
Muse Glimmer 30BWorkato alternatives: Make, Microsoft Power Automate, ServiceNow Workflow, Zapier

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
n8n leads by nine points.
n8n15%#3 of 12
Dagster5%#5 of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Dagster14%#3 of 14
n8n14%#4 of 14
The full mid-market standing →
Enterprise
The order flips: Dagster leads at enterprise.
Dagster9%#4 of 16
n8n0%#15 of 16
The full enterprise standing →

What the models said about Dagster

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Less ideal for general mid-sized unless data quality is your top pain—smaller community/ecosystem” Grok 4.1 Fast · paraphrase prompt · soft negative
“excellent alternatives to Airflow. However ... they carry a distinct business risk” Gemini 3.5 Flash · negative prompt · soft negative
“Prefect/Dagster | Long-running business processes with complex state” Kimi K2 · negative prompt · soft negative
“For most mid-sized B2B companies building a modern data stack today, Dagster is the strongest recommendation.” Gemini 3.5 Flash · paraphrase prompt · first choice
“I'd choose Dagster for a mid-sized B2B company because it balances flexibility, modern orchestration” Perplexity Sonar · paraphrase prompt · first choice
“or Dagster if you have solid engineering capacity and want a modern platform that scales well” Claude Haiku 4.5 · paraphrase prompt · first choice

What the models said about n8n

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Free self-hosted, good for custom workflows, requires DevOps to manage.” GLM 4.7 FlashX · scale prompt · soft negative
“n8n for a client-facing product unless the license fits your exact use.” GPT-6 Luna · negative prompt · soft negative
“Limited for complex/ high-volume enterprise. | If not data-heavy.” Grok 4.1 Fast · scale prompt · soft negative
“If you have one developer willing to install software on a cheap Linux server ($5/month VPS), go with n8n. It provides the most flexibility and power for the lowest cost” Qwen 3.7 Flash · budget prompt · first choice
“the cheapest to run today is usually n8n Community on a small VPS” Muse Glimmer 30B · budget prompt · first choice
“Winner: n8n (Self-Hosted) ... can be self-hosted for free” Gemini 3.5 Flash · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.