Three of fourteen models named Google BigQuery first on the direct prompt; zero named ClickHouse Cloud. Google BigQuery was named by fourteen of the fourteen models and ClickHouse Cloud by twelve and Google BigQuery carries 80 labels and ClickHouse Cloud 25, so the shares are not directly comparable.
Named in five categories this edition.
Named in six 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 warehouses page.
Across every category in the October 2026 Edition, Google BigQuery and ClickHouse Cloud were named in the same answer seventy times, of the 258 answers naming Google BigQuery and the 200 naming ClickHouse Cloud. In those answers ClickHouse Cloud took the first choice one time and Google BigQuery thirty-one.
| 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 eight in this category shown.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“startups like ClickHouse, Tinybird, or MotherDuck are popular, they carry different risks than established giants” GLM 4.7 FlashX · negative prompt · soft negative
“worth evaluating but may not yet have the maturity of the top three” Mistral Small · negative prompt · soft negative
“ClickHouse Cloud delivers the strongest overall cost-performance, with the lowest runtime × cost value.” Claude Haiku 4.5 · 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.