BigQueryvsDatabricks
How 10 AI models weigh BigQuery against Databricks on the 2 buying questions where both came up.
- BigQuery
- 52%of answers named it
- Databricks
- 52%of answers named it
- Placed higher
- 41–1times BigQuery vs Databricks, over 42 model rankings that listed either
- Models leaning
- 10–0toward BigQuery vs Databricks
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 2 shared questions, every wording
| Model | BigQuery | Databricks | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 50% | 50% | 4–0 | BigQuery |
| GPT-6 Luna | 50% | 50% | 4–0 | BigQuery |
| Gemini 4 Argon | 54% | 50% | 4–0 | BigQuery |
| Qwen 3.8 Flash | 54% | 54% | 4–0 | BigQuery |
| DeepSeek V4 Pro | 50% | 50% | 4–0 | BigQuery |
| GLM-5.3 | 54% | 50% | 5–0 | BigQuery |
| Kimi K3 | 50% | 50% | 4–0 | BigQuery |
| MiniMax M3 | 50% | 50% | 3–1 | BigQuery |
| Mistral Large 4 | 54% | 58% | 5–0 | BigQuery |
| Nemotron 3 Ultra | 55% | 55% | 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 Databricks
One reason per model, from the shared questions
- Claude Haiku 5.5
Lakehouse architecture excels at mixed analytics, ML, and large-scale data engineering.
- GPT-6 Luna
Strong lakehouse analytics with excellent support for open formats and machine learning workflows.
- Gemini 4 Argon
Combines warehouse performance with lakehouse economics, making it unbeatable for AI-driven organizations.
- Qwen 3.8 Flash
Dominant lakehouse; strong SQL warehouse plus AI workloads.
- DeepSeek V4 Pro
Lakehouse architecture unifies warehouse and ML workloads on open formats.
- GLM-5.3
Lakehouse leader excelling at large-scale, ML, and streaming workloads.
- Kimi K3
Best lakehouse unification of warehousing and AI/ML on open formats.
- MiniMax M3
Best for unified data + AI workloads, Delta Lake, strong performance.
- Mistral Large 4
Unified lakehouse architecture excels for data engineering and ML workloads.
- Nemotron 3 Ultra
Lakehouse convergence, Photon engine, Unity Catalog
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 | Databricks |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 100% #1 |
| Best databases for web apps | 3% #30 | 3% #31 |