Workflow orchestration · October 2026 Edition
Apache Airflow vs Dagster
Zero of fourteen models named Apache Airflow first on the direct prompt; zero named Dagster. Both were named by all fourteen models and Apache Airflow carries 65 labels and Dagster 50, so the shares are not directly comparable.
Named in three categories this edition.
Named in three categories this edition.
First-choice share17%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate31%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 14; printed, not drawn.
Labels6550A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Apache Airflow 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 Apache Airflow · Prefect vs Dagster · Apache Airflow vs n8n
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.
Apache AirflowFirst choices, of fourteen modelsDagster
Direct001 against Apache Airflow
Paraphrase462 against Apache Airflow · 1 against Dagster
Comparative91
Budget-constrained601 against Apache Airflow
Scale-constrained024 against Apache Airflow
Negative0112 against Apache Airflow · 3 against Dagster
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, Apache Airflow and Dagster were named in the same answer 152 times, of the 243 answers naming Apache Airflow and the 161 naming Dagster. In those answers Dagster took the first choice eighteen times and Apache Airflow thirty-seven.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Apache Airflow and Dagster stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | |
Apache Airflow Dagster first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apache Airflow on the left and Dagster on the right.The direct prompt
The plain question, one answer per model, grouped by where Apache Airflow and Dagster stood in it.
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniPrefect alternatives: Apache Airflow, Dagster, Temporal
Gemini 3.5 FlashMake, Prefect alternatives: Astronomer Astro, Dagster, Workato, n8n
Grok 4.1 FastMake, Zapier alternatives: Apache Airflow, Microsoft Power Automate, Prefect, Tray.io, n8n
Neither was named
11 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Make, Zapier alternatives: Prefect, n8n
Perplexity SonarWorkato alternatives: HubSpot workflows, Make, SnapLogic, Zapier, n8n
Mistral SmallHubSpot Marketing Hub alternatives: Kissflow, Microsoft Power Automate, Revo, Tray.io
DeepSeek V4 Flashn8n alternatives: Microsoft Power Automate, Zapier
Llama 4 MaverickKissflow alternatives: HubSpot Marketing Hub, Microsoft Power Automate
Qwen 3.7 FlashMake alternatives: Kissflow, Microsoft Power Automate, Native HubSpot Workflows, Nintex
Kimi K2Make alternatives: Tray.io, Workato, n8n
GLM 4.7 FlashXMake alternatives: Zapier, n8n
MiniMax M2.5Microsoft Power Automate, Tray.io alternatives: Zapier
GPT-6 LunaWorkato alternatives: Make, Prefect, Temporal, n8n
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
Level: the same share of first choices.
Apache Airflow5%#6 of 12Dagster5%#5 of 12Mid-marketThe figures above
Apache Airflow leads by three points.
Apache Airflow17%#2 of 14Dagster14%#3 of 14Enterprise
Apache Airflow leads by seventeen points.
Apache Airflow26%#1 of 16Dagster9%#4 of 16What the models said about Apache Airflow
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“The Budget Trap: Why Apache Airflow is often a bad choice” Gemini 3.5 Flash · budget prompt · hard negative
“Tool to avoid: Apache Airflow (for Real-Time Streaming)” Qwen 3.7 Flash · negative prompt · hard negative
“skip legacy Apache Airflow and adopt Prefect Cloud” Gemini 3.5 Flash · direct prompt · hard negative
“Need scheduled ETL / batch data pipelines and you have Python engineers to operate it → Apache Airflow self-hosted. Lowest license cost and largest community.” Muse Glimmer 30B · budget prompt · first choice
“Most established open-source tool, massive community, rich plugin ecosystem... Choose Airflow for mature, community-driven data orchestration.” Mistral Small · comparative prompt · first choice
“my default is Apache Airflow if you have engineers and mean data pipelines; n8n if you mean automating business apps and APIs.” GPT-6 Luna · budget prompt · first choice
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
Also compared
Prefect vs Apache AirflowPrefect vs DagsterApache Airflow vs n8nApache Airflow vs MakeApache Airflow vs WorkatoApache Airflow vs KestraApache Airflow vs ZapierDagster vs n8nDagster vs MakeDagster vs WorkatoDagster vs KestraDagster vs ZapierAll twenty-eight head-to-head pages and the full orchestration standing
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.