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Workflow orchestration · October 2026 Edition

Apache Airflow vs Make

Zero of fourteen models named Apache Airflow first on the direct prompt; six named Make. Apache Airflow was named by fourteen of the fourteen models and Make by twelve and Apache Airflow carries 65 labels and Make 27, so the shares are not directly comparable.

Apache Airflow

criticized challenger

Named in three categories this edition.

Make

criticized challenger

Named in five categories this edition.

First-choice share17%12%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate31%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 14; printed, not drawn.
Labels6527A 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 eight of the fourteen direct answers. Prefect vs Apache Airflow · Prefect vs Make · 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.
Apache AirflowFirst choices, of fourteen modelsMake
Direct061 against Apache Airflow · 1 against Make
Paraphrase402 against Apache Airflow
Comparative90
Budget-constrained611 against Apache Airflow · 1 against Make
Scale-constrained004 against Apache Airflow
Negative0012 against Apache Airflow · 5 against Make
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 Make were named in the same answer sixty-four times, of the 243 answers naming Apache Airflow and the 118 naming Make. In those answers Make took the first choice nineteen times and Apache Airflow two.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Apache Airflow and Make 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
Apache Airflow Make first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apache Airflow on the left and Make on the right.

The direct prompt

The plain question, one answer per model, grouped by where Apache Airflow and Make stood in it.

Make first, Apache Airflow an alternative

6 of 14 modelsApache Airflow was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Make, Zapier alternatives: Prefect, n8n
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
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

Neither was the first choice, one was named

4 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
Perplexity SonarWorkato alternatives: HubSpot workflows, Make, SnapLogic, Zapier, n8n
GPT-6 LunaWorkato alternatives: Make, Prefect, Temporal, n8n
Muse Glimmer 30BWorkato alternatives: Make, Microsoft Power Automate, ServiceNow Workflow, Zapier

Neither was named

4 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
DeepSeek V4 Flashn8n alternatives: Microsoft Power Automate, Zapier
Llama 4 MaverickKissflow alternatives: HubSpot Marketing Hub, Microsoft Power Automate
MiniMax M2.5Microsoft Power Automate, Tray.io alternatives: 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
Make leads by eighteen points.
Make24%#1 of 12
Apache Airflow5%#6 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Apache Airflow leads at mid-market.
Apache Airflow17%#2 of 14
Make12%#5 of 14
The full mid-market standing →
Enterprise
Apache Airflow leads by twenty-six points.
Apache Airflow26%#1 of 16
Make0%#– of 16
The full enterprise standing →

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.

“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 Make

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

“Avoid No-Code (Zapier/Make) for data infrastructure, ETL, and backend logic.” Gemini 3.5 Flash · negative prompt · hard negative
“If your budget is bleeding from expensive tools like Zapier or Make” Gemini 3.5 Flash · budget prompt · hard negative
“Good visual builder at a budget price ($9/mo) — but workflows get messy at scale.” DeepSeek V4 Flash · direct prompt · soft negative
“Make is usually the best overall choice if you want a low-cost, user-friendly automation platform with a generous free tier” Perplexity Sonar · budget prompt · first choice
“Make typically offers the best balance of features, pricing, and ease of use for mid-market B2B companies” GLM 4.7 FlashX · direct prompt · first choice
“Make.com is the most cost-effective and powerful engine for a mid-market B2B budget” Gemini 3.5 Flash · direct 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.