BigQuery vs Snowflake
Four of fourteen models named BigQuery first on the direct prompt; nine named Snowflake. Both were named by all fourteen models and BigQuery carries 73 labels and Snowflake 70, so the shares are not directly comparable.
By Google, Mountain View, California, United States, founded 1998. Named in four categories this edition.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in three 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
BigQueryFirst choices, of fourteen modelsSnowflake
Across every category in the October 2026 Edition, BigQuery and Snowflake were named in the same answer 235 times, of the 271 answers naming BigQuery and the 272 naming Snowflake. In those answers Snowflake took the first choice sixty-one times and BigQuery fifty-eight.
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 | | | | | |
BigQuery Snowflake first choice named as an alternative argued againstblank: not namedEach cell is one answer, BigQuery on the left and Snowflake on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.BigQuery first, Snowflake an alternative
3 of 14 modelsSnowflake was named in the answer but not as the choice, or not at all.Snowflake first, BigQuery an alternative
8 of 14 modelsBigQuery was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
BigQuery35%#2 of 17Snowflake7%#4 of 17BigQuery21%#2 of 13Snowflake21%#3 of 13Snowflake29%#2 of 13BigQuery6%#4 of 13What the models said about BigQuery
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“I wouldn't automatically avoid BigQuery, Snowflake, or Redshift... BigQuery charges for query processing... careless or frequent queries can affect the bill” GPT-6 Luna · negative prompt · soft negative
“"BigQuery is built for speed and scale, but marketing teams often discover its limitations only after months of custom pipeline work. Query cost spirals."” Muse Glimmer 30B · negative prompt · soft negative
“Query cost explosions: Exploratory queries on 1TB+ tables without partition filters can cost $50–$200 per run” DeepSeek V4 Flash · negative prompt · soft negative
“the most practical stack is usually BigQuery + self-hosted Airbyte + dbt + Metabase, with BigQuery as the warehouse” Perplexity Sonar · budget prompt · first choice
“BigQuery is often the default choice for modern marketing teams because of its deep integration with the Google ecosystem.” Gemini 3.5 Flash · comparative prompt · first choice
“Most marketing teams today pair BigQuery (for Google ecosystem) or Snowflake (for multi-cloud flexibility)” MiniMax M2.5 · comparative prompt · first choice
What the models said about Snowflake
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Avoid Snowflake and enterprise ETL tools” DeepSeek V4 Flash · budget prompt · hard negative
“General Purpose Warehouses: (e.g., Snowflake via partner templates) — More control, harder setup, higher engineering overhead.” Qwen 3.7 Flash · scale prompt · soft negative
“Snowflake lacks a permanent free tier (only 30-day trial), making it less ideal for long-term budget use.” MiniMax M2.5 · budget prompt · soft negative
“Snowflake + dbt Cloud + Hightouch is the most generally "best" marketing data warehouse + reverse ETL stack for a mid-market B2B company.” GPT-5.4 mini · direct prompt · first choice
“Snowflake is ideal for mid-sized B2B companies offering scalability, cross-cloud flexibility, and strong marketing platform integrations” MiniMax M2.5 · paraphrase prompt · first choice
“Snowflake is the most popular for mid-market B2B companies due to its ease of use, strong performance, and excellent integrations.” Mistral Small · paraphrase 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.