Amazon DynamoDBvsMySQL
How 10 AI models weigh Amazon DynamoDB against MySQL on the 1 buying question where both came up.
- Amazon DynamoDB
- 75%of answers named it
- MySQL
- 74%of answers named it
- Placed higher
- 5–30times Amazon DynamoDB vs MySQL, over 35 model rankings that listed either
- Models leaning
- 0–10toward Amazon DynamoDB vs MySQL
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 DynamoDB | MySQL | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 83% | 75% | 1–3 | MySQL |
| GPT-6 Luna | 75% | 75% | 1–3 | MySQL |
| Gemini 4 Argon | 92% | 75% | 1–3 | MySQL |
| Qwen 3.8 Flash | 67% | 67% | 0–3 | MySQL |
| DeepSeek V4 Pro | 42% | 67% | 0–3 | MySQL |
| GLM-5.3 | 75% | 75% | 1–3 | MySQL |
| Kimi K3 | 67% | 75% | 0–3 | MySQL |
| MiniMax M3 | 83% | 75% | 0–3 | MySQL |
| Mistral Large 4 | 75% | 75% | 1–3 | MySQL |
| Nemotron 3 Ultra | 90% | 80% | 0–3 | MySQL |
What the models say about Amazon DynamoDB
One reason per model, from the shared questions
- Claude Haiku 5.5
Fully managed, scales automatically with predictable low-latency key-value access.
- GPT-6 Luna
Fully managed NoSQL database excels at predictable, high-scale key-value access patterns.
- Gemini 4 Argon
Infinite serverless scalability and predictable performance for high-traffic applications on AWS.
- Qwen 3.8 Flash
Zero-ops scaling for high-traffic apps already on AWS.
- DeepSeek V4 Pro
Fully managed serverless key-value store that scales automatically on AWS.
- GLM-5.3
Serverless scaling with predictable latency at massive scale.
- Kimi K3
Serverless key-value scale with minimal operations on AWS-centric applications.
- MiniMax M3
Fully managed NoSQL with seamless AWS scaling and predictable latency.
- Mistral Large 4
Fully managed, serverless NoSQL with seamless AWS integration and auto-scaling.
- Nemotron 3 Ultra
Fully managed NoSQL at massive scale
What the models say about MySQL
One reason per model, from the shared questions
- Claude Haiku 5.5
Widely adopted, mature, easy to host, and well supported across web frameworks.
- GPT-6 Luna
Mature, widely hosted relational database with a large ecosystem and dependable performance.
- Gemini 4 Argon
Battle-tested relational performance with massive community support and effortless hosting everywhere.
- Qwen 3.8 Flash
Ubiquitous hosting support, proven, easy to hire for and operate.
- DeepSeek V4 Pro
Proven workhorse for web apps, massive adoption, and simple setup.
- GLM-5.3
Ubiquitous, fast, well understood; huge hosting and talent ecosystem.
- Kimi K3
Battle-tested, simple to operate, and ubiquitous hosting support for web apps.
- MiniMax M3
Ubiquitous, well-supported, and reliable for typical web workloads.
- Mistral Large 4
Widely adopted, reliable relational database with strong community and hosting support.
- Nemotron 3 Ultra
Battle-tested relational database at scale
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 DynamoDB | MySQL |
|---|---|---|
| Best databases for web apps | 75% #5 | 74% #6 |