Amazon RedshiftvsDatabricks
How 10 AI models weigh Amazon Redshift against Databricks on the 1 buying question where both came up.
- Amazon Redshift
- 100%of answers named it
- Databricks
- 100%of answers named it
- Placed higher
- 28–12times Amazon Redshift vs Databricks, over 40 model rankings that listed either
- Models leaning
- 6–1toward Amazon Redshift vs Databricks; 3 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 | Amazon Redshift | Databricks | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 3–1 | Amazon Redshift |
| GPT-6 Luna | 100% | 100% | 4–0 | Amazon Redshift |
| Gemini 4 Argon | 100% | 100% | 1–3 | Databricks |
| Qwen 3.8 Flash | 100% | 100% | 2–2 | Even |
| DeepSeek V4 Pro | 100% | 100% | 4–0 | Amazon Redshift |
| GLM-5.3 | 100% | 100% | 3–1 | Amazon Redshift |
| Kimi K3 | 100% | 100% | 2–2 | Even |
| MiniMax M3 | 100% | 100% | 2–2 | Even |
| Mistral Large 4 | 100% | 100% | 3–1 | Amazon Redshift |
| Nemotron 3 Ultra | 100% | 100% | 4–0 | Amazon Redshift |
What the models say about Amazon Redshift
One reason per model, from the shared questions
- Claude Haiku 5.5
Mature AWS-native warehouse with deep integration into the AWS data stack.
- GPT-6 Luna
A proven AWS-native warehouse with flexible deployment choices and deep ecosystem integration.
- Gemini 4 Argon
Deep AWS integration and predictable performance at scale for enterprises already invested in Amazon.
- Qwen 3.8 Flash
Deep AWS integration, mature and broadly deployed.
- DeepSeek V4 Pro
Deep AWS integration, excellent price-performance with RA3 nodes, massive scale.
- GLM-5.3
Mature AWS-native warehouse; strong performance, but less seamless than newer rivals.
- Kimi K3
Deep AWS integration, mature performance, serverless option improving ease of use.
- MiniMax M3
Mature, deep AWS integration, strong for existing AWS workloads.
- Mistral Large 4
Deep AWS ecosystem integration and strong price-performance at scale.
- Nemotron 3 Ultra
Mature AWS ecosystem, RA3 nodes, spectrum
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 | Amazon Redshift | Databricks |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 100% #1 |