Workflow orchestration · September 2026 Edition
Dagster vs Apache Airflow
One of twelve models named Dagster first on the direct prompt; one named Apache Airflow. Both were named by all twelve models and Dagster carries 39 labels and Apache Airflow 56, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
First-choice share18%16%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%32%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 16; printed, not drawn.
Labels3956A 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.Prefect vs Dagster · Prefect vs Apache Airflow
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
DagsterFirst choices, of twelve modelsApache Airflow
Direct114 against Apache Airflow
Paraphrase832 against Apache Airflow
Comparative03
Budget-constrained041 against Dagster · 3 against Apache Airflow
Scale-constrained00
Negative001 against Dagster · 9 against Apache Airflow
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
The direct prompt
The plain question, one answer per model, grouped by where Dagster and Apache Airflow stood in it.
Dagster first, Apache Airflow not the choice
1 of 12 modelsApache Airflow was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashDagster, Prefect alternatives: Temporal, n8n
Apache Airflow first, Dagster not the choice
1 of 12 modelsDagster was named in the answer but not as the choice, or not at all.MiniMax M2.5Apache Airflow, Prefect alternatives: Camunda
Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.DeepSeek V4 FlashMake, n8n alternatives: Apache Airflow, Dagster, Prefect
GLM 4.7 FlashXMake alternatives: Apache Airflow, Microsoft Power Automate, Tray.io, Workato, Zapier, n8n
Neither was named
8 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5no first choice
GPT-5.4 miniPrefect alternatives: Argo Workflows, Temporal
Perplexity SonarWorkato alternatives: Enate, HubSpot, Next Matter, Wrike
Grok 4.1 FastMake alternatives: Prefect, Wrike, n8n
Mistral SmallEnate, Next Matter alternatives: Boomi, HubSpot Marketing Hub, SnapLogic
Llama 4 MaverickHubSpot Marketing Hub alternatives: Elementum, Enate, SnapLogic
Qwen 3.7 FlashEnate, Workato alternatives: HubSpot, Make, Next Matter, SnapLogic
Kimi K2Make alternatives: Temporal, Workato, n8n
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
Dagster leads by six points.
Dagster8%#5 of 10Apache Airflow2%#7 of 10Mid-marketThe figures above
Dagster leads by two points.
Dagster18%#2 of 16Apache Airflow16%#3 of 16Enterprise
The order flips: Apache Airflow leads at enterprise.
Apache Airflow29%#1 of 16Dagster2%#7 of 16What the models said about Dagster
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Dagster OSS UI lacks auth. Good for assets-focused pipelines, but stick to Airflow if community size matters.” Grok 4.1 Fast · negative prompt · soft negative
“it may be more than you need if your main goal is minimizing cost” GPT-5.4 mini · budget prompt · soft negative
“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 · paraphrase prompt · first choice
“Dagster (specifically paired with Dagster+ for managed hosting) is the strongest recommendation” Gemini 3.5 Flash · paraphrase prompt · first choice
“If you want a modern, asset-centric approach and better developer experience, choose Dagster.” Mistral Small · paraphrase prompt · first choice
What 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.
“Airflow is often a budget trap for small companies.” Gemini 3.5 Flash · budget prompt · hard negative
“Be cautious if you need: Very low-latency / event-driven orchestration... great for batch pipelines; be careful if you want lightweight, event-native” GPT-5.4 mini · negative prompt · soft negative
“infamous for production headaches—DAG parsing failures, scheduler bottlenecks... Avoid if you want quick iteration; great for mature teams” Grok 4.1 Fast · negative prompt · soft negative
“Pick Airflow if you need the battle-tested standard with the largest integration ecosystem, especially for scheduled batch data pipelines.” DeepSeek V4 Flash · comparative prompt · first choice
“Apache Airflow - The longstanding leader (open-source, Apache 2.0), used by massive enterprises for batch ETL/data pipelines.” Grok 4.1 Fast · comparative prompt · first choice
“If you have engineering resources, Apache Airflow remains the industry standard for free orchestration.” Claude Haiku 4.5 · budget prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.