Amazon RedshiftvsClickHouse
How 10 AI models weigh Amazon Redshift against ClickHouse on the 1 buying question where both came up.
- Amazon Redshift
- 100%of answers named it
- ClickHouse
- 86%of answers named it
- Placed higher
- 40–0times Amazon Redshift vs ClickHouse, over 40 model rankings that listed either
- Models leaning
- 10–0toward Amazon Redshift vs ClickHouse
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 | ClickHouse | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 75% | 4–0 | Amazon Redshift |
| GPT-6 Luna | 100% | 92% | 4–0 | Amazon Redshift |
| Gemini 4 Argon | 100% | 100% | 4–0 | Amazon Redshift |
| Qwen 3.8 Flash | 100% | 92% | 4–0 | Amazon Redshift |
| DeepSeek V4 Pro | 100% | 67% | 4–0 | Amazon Redshift |
| GLM-5.3 | 100% | 100% | 4–0 | Amazon Redshift |
| Kimi K3 | 100% | 100% | 4–0 | Amazon Redshift |
| MiniMax M3 | 100% | 50% | 4–0 | Amazon Redshift |
| Mistral Large 4 | 100% | 83% | 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 ClickHouse
One reason per model, from the shared questions
- Claude Haiku 5.5
Exceptionally fast columnar engine for real-time analytics at low cost.
- GPT-6 Luna
Very fast analytical queries and efficient performance for real-time, high-volume workloads.
- Gemini 4 Argon
Blistering speed and compression for real-time analytics, observability, and massive time-series workloads.
- Qwen 3.8 Flash
Exceptional real-time performance on high-volume queries.
- DeepSeek V4 Pro
Open-source columnar speed demon, ideal for real-time analytics and event data.
- GLM-5.3
Blazing-fast real-time analytics; increasingly competitive as a managed cloud.
- Kimi K3
Blazing fast real-time OLAP at scale, increasingly popular for user-facing analytics.
- MiniMax M3
Blazing-fast columnar analytics, ideal for real-time OLAP.
- Mistral Large 4
Open-source powerhouse with unmatched real-time ingestion and query performance.
- Nemotron 3 Ultra
Sub-second analytics, columnar compression
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 | ClickHouse |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 86% #5 |
| Best databases for web apps | · | 1% #39 |