Census vs dbt
Zero of fourteen models named Census first on the direct prompt; zero named dbt. Both were named by all fourteen models and Census carries 83 labels and dbt 50, so the shares are not directly comparable.
By Fivetran, United States. Named in five categories this edition.
By dbt-core. Named in four 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 Data warehouse and reverse ETL for marketing page.
By framing
CensusFirst choices, of fourteen modelsdbt
Across every category in the November 2026 Edition, Census and dbt were named in the same answer 108 times, of the 291 answers naming Census and the 142 naming dbt. In those answers dbt took the first choice two times and Census fifteen.
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 | | | | | | |
Census dbt first choice named as an alternative argued againstblank: not namedEach cell is one answer, Census on the left and dbt on the right.The direct prompt
Neither was the first choice, one was named
13 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
What the models said about Census
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 Census post-acquisition pricing” DeepSeek V4 Flash · negative prompt · hard negative
“Census has been integrated into Fivetran's activation offering, so ask about the current product, roadmap, support, and contract terms rather than evaluating it as an independent vendor.” GPT-6 Luna · scale prompt · soft negative
“User-friendly but limited depth for complex marketing logic; post-acquisition changes ... have raised concerns about feature bloat or pricing shifts” Grok 4.20 · negative prompt · soft negative
“Commercial platforms like Census and Hightouch deliver faster time-to-value for most SaaS teams in North America.” Claude Haiku 4.5 · scale prompt · first choice
“Shortlist Hightouch and Fivetran Activations (the product associated with Census)” GPT-6 Luna · scale prompt · first choice
“Choose a tool that offers a self-service interface (like Hightouch or Census)” GLM 4.7 FlashX · negative 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. Four of four in this category shown.
“Tools like dbt (for transformations) add value but increase complexity.” Grok 4.20 · negative prompt · soft negative
“Transformation | dbt Core (open-source) | The industry standard for modeling marketing data” Grok 4.20 · budget prompt · first choice
“Build reusable, tested SQL models for customers, campaigns, spend, and attribution without starting with a paid platform.” GPT-6 Luna · budget prompt · alternative
“Alternatively, dbt (data build tool) is excellent for transforming data within your warehouse and is open-source” 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.