Amazon RedshiftvsFirebolt
How 10 AI models weigh Amazon Redshift against Firebolt on the 1 buying question where both came up.
- Amazon Redshift
- 100%of answers named it
- Firebolt
- 72%of answers named it
- Placed higher
- 40–0times Amazon Redshift vs Firebolt, over 40 model rankings that listed either
- Models leaning
- 10–0toward Amazon Redshift vs Firebolt
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 | Firebolt | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 33% | 4–0 | Amazon Redshift |
| GPT-6 Luna | 100% | 58% | 4–0 | Amazon Redshift |
| Gemini 4 Argon | 100% | 100% | 4–0 | Amazon Redshift |
| Qwen 3.8 Flash | 100% | 75% | 4–0 | Amazon Redshift |
| DeepSeek V4 Pro | 100% | 100% | 4–0 | Amazon Redshift |
| GLM-5.3 | 100% | 100% | 4–0 | Amazon Redshift |
| Kimi K3 | 100% | 50% | 4–0 | Amazon Redshift |
| MiniMax M3 | 100% | 92% | 4–0 | Amazon Redshift |
| Mistral Large 4 | 100% | 25% | 4–0 | Amazon Redshift |
| Nemotron 3 Ultra | 100% | 83% | 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 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 | Amazon Redshift | Firebolt |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 72% #7 |