Amazon RedshiftvsAzure Synapse Analytics
How 10 AI models weigh Amazon Redshift against Azure Synapse Analytics on the 1 buying question where both came up.
- Amazon Redshift
- 100%of answers named it
- Azure Synapse Analytics
- 70%of answers named it
- Placed higher
- 40–0times Amazon Redshift vs Azure Synapse Analytics, over 40 model rankings that listed either
- Models leaning
- 10–0toward Amazon Redshift vs Azure Synapse Analytics
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 | Azure Synapse Analytics | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 58% | 4–0 | Amazon Redshift |
| GPT-6 Luna | 100% | 17% | 4–0 | Amazon Redshift |
| Gemini 4 Argon | 100% | 8% | 4–0 | Amazon Redshift |
| Qwen 3.8 Flash | 100% | 100% | 4–0 | Amazon Redshift |
| DeepSeek V4 Pro | 100% | 100% | 4–0 | Amazon Redshift |
| GLM-5.3 | 100% | 83% | 4–0 | Amazon Redshift |
| Kimi K3 | 100% | 42% | 4–0 | Amazon Redshift |
| MiniMax M3 | 100% | 92% | 4–0 | Amazon Redshift |
| Mistral Large 4 | 100% | 100% | 4–0 | 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 Azure Synapse Analytics
One reason per model, from the shared questions
- Claude Haiku 5.5
Capable Azure warehouse, though Microsoft is steering new work toward Fabric.
- Qwen 3.8 Flash
Solid Azure DW option, though being absorbed by Fabric.
- DeepSeek V4 Pro
Tight Power BI and Azure ecosystem coupling, serverless and provisioned modes.
- GLM-5.3
Azure's dedicated warehouse; capable but being eclipsed by Fabric.
- Kimi K3
Solid enterprise-grade option for Azure shops, though Fabric supersedes it
- MiniMax M3
Tight Azure integration, hybrid serverless + dedicated pools.
- Mistral Large 4
Seamless Microsoft stack integration with flexible dedicated and serverless options.
- Nemotron 3 Ultra
Deep Azure integration, serverless + dedicated
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 | Azure Synapse Analytics |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 70% #8 |