DatabricksvsFirebolt
How 10 AI models weigh Databricks against Firebolt on the 1 buying question where both came up.
- Databricks
- 100%of answers named it
- Firebolt
- 72%of answers named it
- Placed higher
- 38–2times Databricks vs Firebolt, over 40 model rankings that listed either
- Models leaning
- 9–0toward Databricks vs Firebolt; 1 even
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 | Firebolt | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 33% | 4–0 | Databricks |
| GPT-6 Luna | 100% | 58% | 4–0 | Databricks |
| Gemini 4 Argon | 100% | 100% | 4–0 | Databricks |
| Qwen 3.8 Flash | 100% | 75% | 4–0 | Databricks |
| DeepSeek V4 Pro | 100% | 100% | 2–2 | Even |
| GLM-5.3 | 100% | 100% | 4–0 | Databricks |
| Kimi K3 | 100% | 50% | 4–0 | Databricks |
| MiniMax M3 | 100% | 92% | 4–0 | Databricks |
| Mistral Large 4 | 100% | 25% | 4–0 | Databricks |
| Nemotron 3 Ultra | 100% | 83% | 4–0 | Databricks |
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 Firebolt
One reason per model, from the shared questions
- Claude Haiku 5.5
High-performance query engine with competitive pricing for fast, interactive analytics.
- GPT-6 Luna
A modern cloud-native warehouse emphasizing fast interactive analytics and efficient scaling.
- Gemini 4 Argon
Engineered for sub-second analytics and high-concurrency customer-facing data applications.
- Qwen 3.8 Flash
Innovative engine for low-latency BI; smaller but rising challenger.
- DeepSeek V4 Pro
Blazing fast queries on semi-structured data, decoupled storage-compute reinvented.
- GLM-5.3
Speed-focused warehouse winning fans with cost efficiency at scale.
- Kimi K3
Exceptional low-latency query performance for demanding interactive analytics workloads.
- MiniMax M3
Modern cloud DW with strong query speed and decoupled compute/storage.
- Nemotron 3 Ultra
Index-heavy speed, decoupled storage/compute
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 | Firebolt |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 72% #7 |