dbt vs Hevo Data
Zero of fourteen models named dbt first on the direct prompt; one named Hevo Data. dbt was named by thirteen of the fourteen models and Hevo Data by thirteen and dbt carries 42 labels and Hevo Data 31, so the shares are not directly comparable.
Named in six categories this edition.
Named in one category 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
dbtFirst choices, of fourteen modelsHevo Data
Across every category in the November 2026 Edition, dbt and Hevo Data were named in the same answer thirty-six times, of the 125 answers naming dbt and the 101 naming Hevo Data. In those answers Hevo Data took the first choice eight times and dbt one.
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 | | | | | |
dbt Hevo Data first choice named as an alternative argued againstblank: not namedEach cell is one answer, dbt on the left and Hevo Data on the right.The direct prompt
Hevo Data 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
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Hevo Data29%#2 of 15dbt2%#6 of 15dbt4%#4 of 19Hevo Data4%#5 of 19dbt6%#4 of 14Hevo Data0%#11 of 14What 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
What the models said about Hevo Data
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Examples commonly cited with volume-driven pricing are Fivetran, Hevo Data and similar managed connectors.” Muse Glimmer 30B · negative prompt · soft negative
“Hevo or Integrate.io are solid all-in-ones but can get expensive or less flexible for transformations.” Grok 4.20 · paraphrase prompt · soft negative
“These can be good products, but usage-based billing may rise sharply with data volume” Perplexity Sonar · negative prompt · soft negative
“Hevo Data: A no-code, all-in-one platform with flat pricing from $239/month, real-time visibility into every sync, and 24×7 support.” Llama 4 Maverick · budget prompt · first choice
“Hevo Data is the best default choice” Perplexity Sonar · direct prompt · first choice
“If you prefer a fully managed, no-code solution with predictable pricing, Hevo Data or Skyvia are excellent options.” Mistral Small · budget 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.