DatabricksvsSnowflake
How 10 AI models weigh Databricks against Snowflake on the 1 buying question where both came up.
- Databricks
- 100%of answers named it
- Snowflake
- 100%of answers named it
- Placed higher
- 0–40times Databricks vs Snowflake, over 40 model rankings that listed either
- Models leaning
- 0–10toward Databricks vs Snowflake
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 | Databricks | Snowflake | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 0–4 | Snowflake |
| GPT-6 Luna | 100% | 100% | 0–4 | Snowflake |
| Gemini 4 Argon | 100% | 100% | 0–4 | Snowflake |
| Qwen 3.8 Flash | 100% | 100% | 0–4 | Snowflake |
| DeepSeek V4 Pro | 100% | 100% | 0–4 | Snowflake |
| GLM-5.3 | 100% | 100% | 0–4 | Snowflake |
| Kimi K3 | 100% | 100% | 0–4 | Snowflake |
| MiniMax M3 | 100% | 100% | 0–4 | Snowflake |
| Mistral Large 4 | 100% | 100% | 0–4 | Snowflake |
| Nemotron 3 Ultra | 100% | 100% | 0–4 | Snowflake |
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
What the models say about Snowflake
One reason per model, from the shared questions
- Claude Haiku 5.5
Strong separation of storage and compute, multi-cloud, and a broad data sharing ecosystem.
- GPT-6 Luna
Excellent managed analytics warehouse with broad cloud support, strong concurrency, and a mature ecosystem.
- Gemini 4 Argon
Unmatched multi-cloud flexibility, effortless scaling, and the best data-sharing ecosystem in the industry.
- Qwen 3.8 Flash
Market leader; best separation of storage/compute, vast marketplace.
- DeepSeek V4 Pro
Best separation of storage and compute, near-zero maintenance, strong data sharing.
- GLM-5.3
Pioneer of separation of compute and storage; near-universal adoption and workloads.
- Kimi K3
Market-leading elasticity, separation of storage and compute, broad ecosystem.
- MiniMax M3
Industry leader; separates storage/compute, scales effortlessly, massive ecosystem.
- Mistral Large 4
Best-in-class separation of compute and storage, near-zero maintenance, and top scalability.
- Nemotron 3 Ultra
Elastic compute, zero-maintenance, multi-cloud leader
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 | Databricks | Snowflake |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 100% #1 |
| Best business intelligence tools | · | 2% #20 |