Eight of fourteen models named Snowflake first on the direct prompt; zero named Airbyte. Both were named by all fourteen models and Snowflake carries 68 labels and Airbyte 41, so the shares are not directly comparable.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in four categories this edition.
Named in two 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, Snowflake and Airbyte were named in the same answer 105 times, of the 273 answers naming Snowflake and the 126 naming Airbyte. In those answers Airbyte took the first choice five times and Snowflake forty-three.
| 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.
“Opting for self-hosted tools (like the self-hosted version of Airbyte or Castled) thinking it saves money... Self-hosting Reverse ETL is a massive engineering undertaking” Qwen 3.7 Flash · negative prompt · soft negative
“their reverse ETL capabilities are still developing and may not have the performance or reliability needed” Mistral Small · negative prompt · soft negative
“Avoid building your own (e.g., custom Airbyte + dbt + cron) unless your team is engineering-heavy” Grok 4.20 · paraphrase prompt · soft negative
“ELT / Ingestion | Airbyte (open-source) or Meltano | Open-source ELT with 300+ connectors” Grok 4.20 · budget prompt · first choice
“Airbyte (open-source, self-hosted) is a top pick for budget-conscious teams.” Mistral Small · budget prompt · first choice
“ELT/ETL (Data Ingestion): Airbyte — *$0–$50/month* ... Completely free” DeepSeek V4 Flash · budget prompt · first choice
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.