DatabricksvsTeradata
How 10 AI models weigh Databricks against Teradata on the 1 buying question where both came up.
- Databricks
- 100%of answers named it
- Teradata
- 69%of answers named it
- Placed higher
- 40–0times Databricks vs Teradata, over 40 model rankings that listed either
- Models leaning
- 10–0toward Databricks vs Teradata
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 | Teradata | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 4–0 | Databricks |
| GPT-6 Luna | 100% | 100% | 4–0 | Databricks |
| Gemini 4 Argon | 100% | 92% | 4–0 | Databricks |
| Qwen 3.8 Flash | 100% | 17% | 4–0 | Databricks |
| DeepSeek V4 Pro | 100% | 58% | 4–0 | Databricks |
| GLM-5.3 | 100% | 100% | 4–0 | Databricks |
| Kimi K3 | 100% | 75% | 4–0 | Databricks |
| MiniMax M3 | 100% | 17% | 4–0 | Databricks |
| Mistral Large 4 | 100% | 50% | 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 Teradata
One reason per model, from the shared questions
- Claude Haiku 5.5
Long-established enterprise warehouse with strong workload management for complex queries.
- GPT-6 Luna
Robust performance and workload management for complex, large-scale enterprise analytics.
- Gemini 4 Argon
Proven hybrid multi-cloud performance for the largest, most complex enterprise workloads.
- GLM-5.3
Battle-tested enterprise warehouse still strong for complex, governed analytics.
- Kimi K3
Proven enterprise-scale performance and workload management for large regulated organizations.
- Mistral Large 4
Proven enterprise-grade performance for massive, complex analytical workloads.
- Nemotron 3 Ultra
Enterprise MPP heritage, multi-cloud deployment
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 | Teradata |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 69% #10 |