Zero of fourteen models named RudderStack Reverse ETL first on the direct prompt; zero named dbt. Both were named by all fourteen models and RudderStack Reverse ETL carries 52 labels and dbt 50, so the shares are not directly comparable.
Named in one category 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.
Across every category in the November 2026 Edition, RudderStack Reverse ETL and dbt were named in the same answer sixty-three times, of the 139 answers naming RudderStack Reverse ETL and the 142 naming dbt. In those answers dbt took the first choice one time and RudderStack Reverse ETL zero.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“SQL- or configuration-heavy interfaces may require ongoing data-team support rather than allowing marketers to create and manage audiences independently” Perplexity Sonar · negative prompt · soft negative
“The platform is overkill for batch-only use cases, and marketing teams without engineering support will struggle to maintain the platform” Claude Haiku 4.5 · negative prompt · soft negative
“Requires strong data engineering expertise to maintain | More complex implementation than managed solutions” MiniMax M2.5 · negative prompt · soft negative
“using a reverse ETL tool such as Hightouch, Census, or RudderStack” Llama 4 Maverick · paraphrase prompt · first choice
“RudderStack is a popular choice for reverse ETL” Llama 4 Maverick · scale prompt · first choice
“Better if you need real-time event streaming + reverse ETL in one platform, but requires more engineering involvement” DeepSeek V4 Flash · paraphrase prompt · alternative
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.