Workflow orchestration · November 2026 Edition
Apache Airflow vs Zapier
Zero of fourteen models named Apache Airflow first on the direct prompt; two named Zapier. Apache Airflow was named by fourteen of the fourteen models and Zapier by twelve and Apache Airflow carries 69 labels and Zapier 31, so the shares are not directly comparable.
Named in two categories this edition.
Named in seven categories this edition.
First-choice share13%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate32%32%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 16; printed, not drawn.
Labels6931A 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.n8n was named alongside these two in nine of the fourteen direct answers. Prefect vs Apache Airflow · Prefect vs Zapier · Dagster vs Apache Airflow
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 modelsZapier
Direct021 against Apache Airflow · 2 against Zapier
Paraphrase305 against Apache Airflow
Comparative100
Budget-constrained313 against Apache Airflow · 1 against Zapier
Scale-constrained101 against Apache Airflow · 2 against Zapier
Negative2012 against Apache Airflow · 5 against Zapier
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 November 2026 Edition, Apache Airflow and Zapier were named in the same answer eighty-five times, of the 244 answers naming Apache Airflow and the 201 naming Zapier. In those answers Zapier took the first choice seven times and Apache Airflow five.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Apache Airflow and Zapier 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 4.20 | | | | | | |
| 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 Zapier first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apache Airflow on the left and Zapier on the right.The direct prompt
The plain question, one answer per model, grouped by where Apache Airflow and Zapier stood in it.
Zapier first, Apache Airflow not the choice
2 of 14 modelsApache Airflow was named in the answer but not as the choice, or not at all.Grok 4.20Zapier alternatives: Camunda Platform 8, Make, Microsoft Power Automate, SnapLogic, Workato, n8n
Kimi K2Microsoft Power Automate, Zapier alternatives: Make, Workato, n8n
Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Prefect, Zapier/Make alternatives: Apache Airflow
GPT-5.4 miniTemporal alternatives: Apache Airflow, Prefect
Perplexity SonarWorkato alternatives: Make, Microsoft Power Automate, Zapier, n8n
Mistral SmallPrefect alternatives: Apache Airflow, Camunda Platform 8, Dagster, Microsoft Power Automate, Workato
DeepSeek V4 FlashWorkato alternatives: Make, Prefect, Zapier, n8n
Llama 4 MaverickPrefect alternatives: Apache Airflow, Dagster, Make, Microsoft Power Automate, Workato, Zapier, n8n
Qwen 3.7 FlashMake alternatives: Apache Airflow, Microsoft Power Automate, n8n
GLM 4.7 FlashXMake alternatives: Microsoft Power Automate, Tray.io, Workato, Zapier, n8n
Muse Glimmer 30BWorkato alternatives: Boomi, Make, Microsoft Power Automate, SnapLogic, Zapier
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashDagster, Prefect, Temporal, n8n alternatives: Amazon Managed Workflows for Apache Airflow, Astronomer Astro, Make
MiniMax M2.5no first choice
GPT-6 LunaWorkato alternatives: Camunda Platform 8, Microsoft Power Automate, Temporal, 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
Zapier leads by fourteen points.
Zapier18%#3 of 10Apache Airflow4%#5 of 10Mid-marketThe figures above
The order flips: Apache Airflow leads at mid-market.
Apache Airflow13%#3 of 16Zapier6%#7 of 16Enterprise
Apache Airflow leads by twenty-nine points.
Apache Airflow29%#1 of 20Zapier0%#20 of 20What 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 seven in this category shown.
“running Airflow in production requires managing the scheduler, workers, metadata database, and web server, and it's not suited for business process automation or teams without Python expertise” Claude Haiku 4.5 · budget prompt · soft negative
“Unlike open-source Airflow, which often requires a dedicated data platform engineer to maintain Kubernetes clusters” Gemini 3.5 Flash · direct prompt · soft negative
“Apache Airflow is widely used but is frequently cited as a caution for teams without dedicated platform engineering” Muse Glimmer 30B · negative prompt · soft negative
“Airflow is the pioneer of modern code-as-configuration workflows... Choose Apache Airflow if you operate in a traditional enterprise data setting” Gemini 3.5 Flash · comparative prompt · first choice
“The industry standard and most widely adopted open-source orchestrator... Choose Airflow if you need the largest ecosystem” DeepSeek V4 Flash · comparative prompt · first choice
“The industry-standard, open-source data pipeline scheduler ... Largest ecosystem of operators and integrations” GLM 4.7 FlashX · comparative prompt · first choice
What the models said about Zapier
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Avoid or be cautious with Zapier, Make, and Workato for anything beyond simple automation due to cost and scalability issues.” Mistral Small · negative prompt · hard negative
“Zapier - It is consistently the most expensive per-task option unless you specifically need its massive 8,000+ app library.” Llama 4 Maverick · negative prompt · soft negative
“per-task pricing, limited durability, debugging constraints, and connector dependence can become problematic at scale” Perplexity Sonar · negative prompt · soft negative
“n8n (open-source, self-hosted) or Zapier (no-code, free tier) are the best starting points for workflow orchestration on a limited budget” Mistral Small · budget prompt · first choice
“I'd recommend starting with Zapier or Microsoft Power Automate” Kimi K2 · direct prompt · first choice
“Zapier (Best Overall for Most Mid-Market B2B Teams)” Grok 4.20 · direct prompt · first choice
Also compared
Prefect vs Apache AirflowPrefect vs ZapierDagster vs Apache AirflowDagster vs ZapierApache Airflow vs n8nApache Airflow vs MakeApache Airflow vs WorkatoApache Airflow vs Temporaln8n vs ZapierMake vs ZapierWorkato vs ZapierZapier vs TemporalAll 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.