Nine of twelve models named Snowflake first on the direct prompt; three named Google BigQuery. Both were named by all twelve models and Snowflake carries 65 labels and Google BigQuery 67, so the shares are not directly comparable.
Named in three 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 twelve 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 warehouses page.
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.
“Avoid Snowflake for tight budgets” DeepSeek V4 Flash · budget prompt · hard negative
“Snowflake is also powerful, but you should watch warehouse usage, autosuspend/autoresume settings, cloud-services charges, and serverless features” GPT-5.4 mini · negative prompt · soft negative
“Traditional cloud data warehouses like Snowflake and BigQuery, which may not be suitable for operational workloads or real-time analytics.” Llama 4 Maverick · negative prompt · soft negative
“Snowflake is a popular choice among mid-sized companies due to its near-zero maintenance, ecosystem maturity, and marketplace integrations.” Llama 4 Maverick · direct prompt · first choice
“For most mid-sized B2B companies, Snowflake is the top recommendation due to its ease of use, scalability, and strong ecosystem.” Mistral Small · paraphrase prompt · first choice
“Snowflake is the most common "best default" because it tends to balance ease of use, governance, performance, and ecosystem fit” GPT-5.4 mini · direct 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.
“BigQuery can be great, but on-demand query pricing can surprise teams if you don't put quotas and guardrails in place.” GPT-5.4 mini · negative prompt · soft negative
“Pay-per-Query Volatility... To use BigQuery safely, you must enforce strict query cost limits” Gemini 3.5 Flash · negative prompt · soft negative
“BigQuery, which is not suitable for live data or situations that require frequent mutations.” Llama 4 Maverick · negative prompt · soft negative
“Features a generous free tier with 1TB of query data per month and 10GB of storage. It's highly cost-effective for sporadic queries and has no minimum commitment.” Claude Haiku 4.5 · budget prompt · first choice
“If cost is your primary concern: Choose BigQuery - it's significantly cheaper at mid-market scale and requires zero infrastructure management.” Kimi K2 · direct prompt · first choice
“Google BigQuery: A serverless, pay-as-you-go solution with a generous free tier, ideal for flexible, ad-hoc analytics, and startups.” Llama 4 Maverick · budget prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.