Eight of fourteen models named Snowflake first on the direct prompt; zero named RudderStack Reverse ETL. Both were named by all fourteen models and Snowflake carries 68 labels and RudderStack Reverse ETL 52, so the shares are not directly comparable.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in four 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 Data warehouse and reverse ETL for marketing page.
Across every category in the November 2026 Edition, Snowflake and RudderStack Reverse ETL were named in the same answer 118 times, of the 273 answers naming Snowflake and the 139 naming RudderStack Reverse ETL. In those answers RudderStack Reverse ETL took the first choice two times and Snowflake forty-five.
| 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 six in this category shown.
“Snowflake, BigQuery, Redshift, Databricks are excellent for analytics but: Data is only accessible to technical SQL users” Kimi K2 · negative prompt · soft negative
“Using Snowflake, BigQuery, or Databricks directly for marketing activation... they offer zero native activation” Qwen 3.7 Flash · negative prompt · soft negative
“Cost and lock-in are the recurring complaints... often seen as one of the most expensive cloud data warehouses.” Muse Glimmer 30B · negative prompt · soft negative
“For most mid-sized B2B companies, Snowflake + Census + Segment + Fivetran + dbt is a robust, scalable, and maintainable stack.” Mistral Small · paraphrase prompt · first choice
“Choose Snowflake if you need multi-cloud flexibility or have broader organizational data needs beyond marketing” Kimi K2 · direct prompt · first choice
“What to use instead: Snowflake or Google BigQuery. Both offer serverless auto-scaling, low maintenance” Gemini 3.5 Flash · negative prompt · first choice
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
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.