Amazon RedshiftvsBigQuery
How 10 AI models weigh Amazon Redshift against BigQuery on the 1 buying question where both came up.
- Amazon Redshift
- 100%of answers named it
- BigQuery
- 100%of answers named it
- Placed higher
- 2–38times Amazon Redshift vs BigQuery, over 40 model rankings that listed either
- Models leaning
- 0–9toward Amazon Redshift vs BigQuery; 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 | Amazon Redshift | BigQuery | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 0–4 | BigQuery |
| GPT-6 Luna | 100% | 100% | 0–4 | BigQuery |
| Gemini 4 Argon | 100% | 100% | 0–4 | BigQuery |
| Qwen 3.8 Flash | 100% | 100% | 0–4 | BigQuery |
| DeepSeek V4 Pro | 100% | 100% | 2–2 | Even |
| GLM-5.3 | 100% | 100% | 0–4 | BigQuery |
| Kimi K3 | 100% | 100% | 0–4 | BigQuery |
| MiniMax M3 | 100% | 100% | 0–4 | BigQuery |
| Mistral Large 4 | 100% | 100% | 0–4 | BigQuery |
| Nemotron 3 Ultra | 100% | 100% | 0–4 | BigQuery |
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 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
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 | BigQuery |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 100% #1 |
| Best databases for web apps | · | 3% #30 |