BigQueryvsClickHouse
How 10 AI models weigh BigQuery against ClickHouse on the 1 buying question where both came up.
- BigQuery
- 100%of answers named it
- ClickHouse
- 86%of answers named it
- Placed higher
- 40–0times BigQuery vs ClickHouse, over 40 model rankings that listed either
- Models leaning
- 10–0toward BigQuery vs ClickHouse
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | BigQuery | ClickHouse | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 75% | 4–0 | BigQuery |
| GPT-6 Luna | 100% | 92% | 4–0 | BigQuery |
| Gemini 4 Argon | 100% | 100% | 4–0 | BigQuery |
| Qwen 3.8 Flash | 100% | 92% | 4–0 | BigQuery |
| DeepSeek V4 Pro | 100% | 67% | 4–0 | BigQuery |
| GLM-5.3 | 100% | 100% | 4–0 | BigQuery |
| Kimi K3 | 100% | 100% | 4–0 | BigQuery |
| MiniMax M3 | 100% | 50% | 4–0 | BigQuery |
| Mistral Large 4 | 100% | 83% | 4–0 | BigQuery |
| Nemotron 3 Ultra | 100% | 100% | 4–0 | BigQuery |
What the models say about BigQuery
One reason per model, from the shared questions
- Claude Haiku 5.5
Serverless, highly scalable, and very fast for large analytical queries with low ops burden.
- GPT-6 Luna
Serverless simplicity, fast analytics, and tight integration with Google Cloud and data science tools.
- Gemini 4 Argon
True serverless architecture with incredible speed on massive datasets and deeply integrated machine learning.
- Qwen 3.8 Flash
Serverless scale, zero ops, excellent for large analytics.
- DeepSeek V4 Pro
Serverless, brilliant SQL on JSON, strong ML integration, pay-per-query model.
- GLM-5.3
Serverless ease, strong ecosystem, best value for analytics-heavy Google shops.
- Kimi K3
Serverless simplicity, unmatched scalability, strong pricing for bursty analytics workloads.
- MiniMax M3
Serverless, pay-per-query, excellent ML integration with Vertex AI.
- Mistral Large 4
Serverless simplicity, blazing analytics speed, and deep AI/ML integration.
- Nemotron 3 Ultra
Serverless scale, SQL-native, GCP integration
What the models say about ClickHouse
One reason per model, from the shared questions
- Claude Haiku 5.5
Exceptionally fast columnar engine for real-time analytics at low cost.
- GPT-6 Luna
Very fast analytical queries and efficient performance for real-time, high-volume workloads.
- Gemini 4 Argon
Blistering speed and compression for real-time analytics, observability, and massive time-series workloads.
- Qwen 3.8 Flash
Exceptional real-time performance on high-volume queries.
- DeepSeek V4 Pro
Open-source columnar speed demon, ideal for real-time analytics and event data.
- GLM-5.3
Blazing-fast real-time analytics; increasingly competitive as a managed cloud.
- Kimi K3
Blazing fast real-time OLAP at scale, increasingly popular for user-facing analytics.
- MiniMax M3
Blazing-fast columnar analytics, ideal for real-time OLAP.
- Mistral Large 4
Open-source powerhouse with unmatched real-time ingestion and query performance.
- Nemotron 3 Ultra
Sub-second analytics, columnar compression
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | BigQuery | ClickHouse |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 86% #5 |