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Workflow orchestration · November 2026 Edition

Dagster vs Make

One of fourteen models named Dagster first on the direct prompt; two named Make. Dagster was named by fourteen of the fourteen models and Make by twelve and Dagster carries 50 labels and Make 29, so the shares are not directly comparable.

Dagster

accepted challenger

Named in three categories this edition.

Make

accepted challenger

Named in three categories this edition.

First-choice share15%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 16; printed, not drawn.
Labels5029A 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.n8n was named alongside these two in nine of the fourteen direct answers. Prefect vs Dagster · Prefect vs Make · 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.
DagsterFirst choices, of fourteen modelsMake
Direct12
Paraphrase70
Comparative00
Budget-constrained03
Scale-constrained00
Negative302 against Dagster · 3 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 November 2026 Edition, Dagster and Make were named in the same answer thirty-eight times, of the 153 answers naming Dagster and the 155 naming Make. In those answers Make took the first choice five times and Dagster four.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Dagster and Make stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Dagster Make first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dagster on the left and Make on the right.

The direct prompt

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

Dagster first, Make an alternative

1 of 14 modelsMake was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashDagster, Prefect, Temporal, n8n alternatives: Amazon Managed Workflows for Apache Airflow, Astronomer Astro, Make

Make first, Dagster not the choice

2 of 14 modelsDagster was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashMake alternatives: Apache Airflow, Microsoft Power Automate, n8n
GLM 4.7 FlashXMake alternatives: Microsoft Power Automate, Tray.io, Workato, Zapier, n8n

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarWorkato alternatives: Make, Microsoft Power Automate, Zapier, n8n
Grok 4.20Zapier alternatives: Camunda Platform 8, Make, Microsoft Power Automate, SnapLogic, Workato, 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
Kimi K2Microsoft Power Automate, Zapier alternatives: Make, Workato, n8n
Muse Glimmer 30BWorkato alternatives: Boomi, Make, Microsoft Power Automate, SnapLogic, Zapier

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Prefect, Zapier/Make alternatives: Apache Airflow
GPT-5.4 miniTemporal alternatives: Apache Airflow, Prefect
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
Make leads by thirty-one points.
Make33%#1 of 10
Dagster2%#6 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Dagster leads at mid-market.
Dagster15%#2 of 16
Make9%#5 of 16
The full mid-market standing →
Enterprise
Dagster leads by five points.
Dagster5%#5 of 20
Make0%#19 of 20
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. Five of six in this category shown.

“Many current open core tools like Kestra and Dagster keep essential enterprise features ... locked behind their enterprise versions.” Muse Glimmer 30B · negative prompt · soft negative
“Dagster has a younger ecosystem with fewer integrations than Airflow” Claude Haiku 4.5 · negative prompt · soft negative
“Winner: Dagster (or Prefect) ... Dagster Cloud or Prefect Cloud are the top recommendations over traditional Apache Airflow.” Gemini 3.5 Flash · direct prompt · first choice
“Start with Dagster (specifically Dagster Plus/Apache Dagster) if you are building a greenfield stack today.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Prefect or Dagster strike a good balance between ease of use, scalability, and observability” Mistral Small · paraphrase 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 seven in this category shown.

“It's best avoided for complex or high-volume workflows.” Mistral Small · negative prompt · hard negative
“Zapier, Make, or similar automation tools for high-volume, mission-critical processes” Perplexity Sonar · negative prompt · soft negative
“be cautious for complex, high-scale, or mission-critical orchestration” Grok 4.20 · negative prompt · soft negative
“The Best Overall (Visual & Complex Logic): Make (formerly Integromat) ... Make is currently the strongest contender.” Qwen 3.7 Flash · direct prompt · first choice
“the top recommendation for most mid‑market B2B organizations is: Make (formerly Integromat)” GLM 4.7 FlashX · direct prompt · first choice
“Make is generally considered the best balance between power and cost for most businesses.” Qwen 3.7 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.