# Snowflake vs Google BigQuery: which do AI models recommend for data warehouses, October 2026

IT AI Recommendation Index, October 2026 Edition, Data warehouses. Eleven of fourteen models named Snowflake first on the direct prompt; three named Google BigQuery. Page: https://it-ai-index.com/it-data/data-warehouses/snowflake-vs-google-bigquery/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Snowflake | 49% | #1 of 8 | 22% | 78 | 14 of 14 |
| Google BigQuery | 47% | #2 of 8 | 16% | 80 | 14 of 14 |

## The direct prompt, model by model

- DeepSeek V4 Flash: both first (first choices: Google BigQuery, Snowflake) (alternatives: Amazon Redshift)
- Claude Haiku 4.5: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery)
- GPT-5.4 mini: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse)
- Gemini 3.5 Flash: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse, MotherDuck)
- Perplexity Sonar: snowflake first (first choices: Snowflake) (alternatives: Azure SQL Database, Google BigQuery, Microsoft Fabric Data Warehouse)
- Mistral Small: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse)
- Qwen 3.7 Flash: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Databricks SQL, Google BigQuery)
- GLM 4.7 FlashX: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery)
- MiniMax M2.5: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery)
- GPT-6 Luna: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Databricks SQL, Google BigQuery)
- Muse Glimmer 30B: snowflake first (first choices: Snowflake) (alternatives: Amazon Redshift, Azure SQL Database, Google BigQuery)
- Grok 4.20: google bigquery first (first choices: Google BigQuery) (alternatives: Amazon Redshift, Snowflake)
- Kimi K2: google bigquery first (first choices: Google BigQuery) (alternatives: Amazon Redshift, Snowflake)
- Llama 4 Maverick: neither named

## What the models said about Snowflake

- "What to Avoid on a Tight Budget - Snowflake: ... It's typically the most expensive option." (DeepSeek V4 Flash, budget prompt, hard negative)
- "Avoid Snowflake on a tight budget." (Muse Glimmer 30B, budget prompt, hard negative)
- "For a typical mid-sized B2B company, I'd recommend Snowflake because: 1. It provides the best balance of features, scalability, and flexibility" (MiniMax M2.5, paraphrase prompt, first choice)
- "If your team wants a platform that "just works" with almost zero database administration (DBA) overhead, Snowflake is the top recommendation." (Gemini 3.5 Flash, paraphrase prompt, first choice)
- ""Snowflake offers balance. Stable, reliable, and scalable, and with smart engine sizing and auto-suspend, it can be cost-effective too."" (Muse Glimmer 30B, comparative prompt, first choice)

## What the models said about Google BigQuery

- "On-demand charges are based on data processed... configure controls—or compare capacity pricing—before opening it up to lots of users." (GPT-6 Luna, negative prompt, soft negative)
- "Exercise Caution on Billing Surprises... harder for engineers to predict exactly what a specific query will cost" (Qwen 3.7 Flash, negative prompt, soft negative)
- "BigQuery is frequently cited as particularly risky for novices—people have reported massive unexpected bills" (MiniMax M2.5, negative prompt, soft negative)
- "Choose Google BigQuery if: Your workloads are unpredictable, you want to avoid "idle" costs, and you want safety against accidental massive bills." (Qwen 3.7 Flash, budget prompt, first choice)
- "BigQuery is the most popular choice for budget-conscious companies because it requires zero server management and has a generous free tier." (Gemini 3.5 Flash, budget prompt, first choice)
- "Snowflake if you have the budget and want to scale smoothly, or BigQuery if cost efficiency and serverless simplicity matter most" (Kimi K2, paraphrase prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.