Fivetran vs dbt
Seven of fourteen models named Fivetran first on the direct prompt; zero named dbt. Fivetran was named by fourteen of the fourteen models and dbt by thirteen and Fivetran carries 66 labels and dbt 42, so the shares are not directly comparable.
Named in two categories this edition.
Named in six 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 ETL and ELT page.
By framing
FivetranFirst choices, of fourteen modelsdbt
Across every category in the November 2026 Edition, Fivetran and dbt were named in the same answer ninety-nine times, of the 204 answers naming Fivetran and the 125 naming dbt. In those answers dbt took the first choice zero times and Fivetran thirty-five.
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 4.20 | | | | | | |
| 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 | | | | |
Fivetran dbt first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fivetran on the left and dbt on the right.The direct prompt
Fivetran first, dbt an alternative
7 of 14 modelsdbt was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Fivetran31%#2 of 19dbt4%#4 of 19What the models said about Fivetran
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid per-row pricing models - tools like Fivetran can have costs multiply by 5x in a single quarter” MiniMax M2.5 · budget prompt · hard negative
“Tools like Fivetran are industry standards for simplicity, but their consumption-based pricing models scale based on active rows synced” Gemini 3.5 Flash · negative prompt · soft negative
“Many mid-sized companies outgrow Fivetran when their Monthly Active Row (MAR) costs scale faster than their revenue.” Kimi K2 · paraphrase prompt · soft negative
“Most mid-market teams land on a combination like Fivetran or Airbyte (ingestion) + dbt (transformation) + an orchestrator (Airflow/Dagster)” DeepSeek V4 Flash · scale prompt · first choice
“Choose Fivetran + dbt if you want a modern, low-maintenance ELT stack for a cloud warehouse with minimal engineering overhead.” Gemini 3.5 Flash · comparative prompt · first choice
“Go with Fivetran + dbt + Snowflake if you want to minimize engineering oversight and get up and running within days” Gemini 3.5 Flash · paraphrase prompt · first choice
What the models said about dbt
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“dbt's recent model-based pricing controversies, which have drawn significant criticism” DeepSeek V4 Flash · negative prompt · soft negative
“Not a general-purpose extraction and loading tool.” GPT-6 Luna · comparative prompt · soft negative
“recommend Cloud-Native ELT tools (like Fivetran, Airbyte, or dbt)” GLM 4.7 FlashX · negative prompt · first choice
“Choose Fivetran + dbt if you want a modern, low-maintenance ELT stack” Gemini 3.5 Flash · comparative prompt · first choice
“Transform: Use dbt to build tested, documented SQL models” GPT-6 Luna · paraphrase 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.