Stitch vs dbt
One of fourteen models named Stitch first on the direct prompt; zero named dbt. Stitch was named by eleven of the fourteen models and dbt by twelve and Stitch carries 30 labels and dbt 35, so the shares are not directly comparable.
Named in one category 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 ETL and ELT page.
By framing
StitchFirst choices, of fourteen modelsdbt
Across every category in the October 2026 Edition, Stitch and dbt were named in the same answer thirty times, of the 94 answers naming Stitch and the 100 naming dbt. In those answers dbt took the first choice two times and Stitch two.
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 | | | |
Stitch dbt first choice named as an alternative argued againstblank: not namedEach cell is one answer, Stitch on the left and dbt on the right.The direct prompt
Stitch first, dbt not the choice
1 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
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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
What the models said about Stitch
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Stitch has limited customer support with community forums as the primary troubleshooting resource, pricing that doesn't scale well at large data volumes” Claude Haiku 4.5 · negative prompt · soft negative
“provides straightforward data replication but lacks Fivetran's deeper customization and robust enterprise security features” Gemini 3.5 Flash · comparative prompt · soft negative
“Only ~130 connectors, less reliable at scale... Better for small startups than mid-market.” DeepSeek V4 Flash · paraphrase prompt · soft negative
“or Stitch if you need the lowest entry price for simpler ingestion needs” Perplexity Sonar · budget prompt · first choice
“Start with Hevo Data or Stitch Data for mid-market B2B companies” GLM 4.7 FlashX · direct prompt · first choice
“Stitch is a solid choice for businesses that need a simple, reliable data pipeline solution without complexity” Claude Haiku 4.5 · paraphrase prompt · alternative
What the models said about dbt
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“dbt is usually a complement, not a full ETL replacement” GPT-6 Luna · comparative prompt · soft negative
“use modern ELT orchestrators like dbt (Data Build Tool) coupled with lightweight extractors” Gemini 3.5 Flash · negative prompt · first choice
“ELT / transformations: dbt” GPT-5.4 mini · paraphrase prompt · first choice
“Better Alternative: For most teams, a SQL-based transformation tool like dbt or a visual low-code tool is faster and cheaper to maintain.” Qwen 3.7 Flash · negative prompt · alternative
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.