Dagster vs Make
Zero of fourteen models named Dagster first on the direct prompt; six named Make. Dagster was named by fourteen of the fourteen models and Make by twelve and Dagster carries 50 labels and Make 27, so the shares are not directly comparable.
Named in three categories this edition.
Named in five categories this edition.
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
DagsterFirst choices, of fourteen modelsMake
Across every category in the October 2026 Edition, Dagster and Make were named in the same answer forty-six times, of the 161 answers naming Dagster and the 118 naming Make. In those answers Make took the first choice twelve times and Dagster three.
Every model, every framing
| 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 | | | |
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
Make first, Dagster an alternative
6 of 14 modelsDagster was named in the answer but not as the choice, or not at all.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.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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
Dagster14%#3 of 14Make12%#5 of 14What 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
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
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.