MongoDBvsMySQL
How 10 AI models weigh MongoDB against MySQL on the 1 buying question where both came up.
- MongoDB
- 75%of answers named it
- MySQL
- 74%of answers named it
- Placed higher
- 8–22times MongoDB vs MySQL, over 30 model rankings that listed either
- Models leaning
- 3–7toward MongoDB 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 | MongoDB | MySQL | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 75% | 75% | 0–3 | MySQL |
| GPT-6 Luna | 75% | 75% | 0–3 | MySQL |
| Gemini 4 Argon | 75% | 75% | 0–3 | MySQL |
| Qwen 3.8 Flash | 75% | 67% | 2–1 | MongoDB |
| DeepSeek V4 Pro | 75% | 67% | 1–2 | MySQL |
| GLM-5.3 | 75% | 75% | 2–1 | MongoDB |
| Kimi K3 | 75% | 75% | 0–3 | MySQL |
| MiniMax M3 | 75% | 75% | 0–3 | MySQL |
| Mistral Large 4 | 75% | 75% | 3–0 | MongoDB |
| Nemotron 3 Ultra | 80% | 80% | 0–3 | MySQL |
What the models say about MongoDB
One reason per model, from the shared questions
- Claude Haiku 5.5
Flexible document model that suits rapid iteration and evolving schemas.
- GPT-6 Luna
Flexible document model suits evolving schemas and applications centered on JSON-like data.
- Gemini 4 Argon
Flexible document model allows rapid iteration when application schemas are still evolving.
- Qwen 3.8 Flash
Flexible documents, great DX, Atlas handles ops for early-stage apps.
- DeepSeek V4 Pro
Flexible document model speeds development when schemas evolve rapidly.
- GLM-5.3
Flexible document model; fast iteration for varied, evolving schemas.
- Kimi K3
Flexible document model speeds iteration for evolving web application schemas.
- MiniMax M3
Leading document store with flexible schemas for rapid iteration.
- Mistral Large 4
Top NoSQL document database: flexible schema, excellent scalability, great developer experience.
- Nemotron 3 Ultra
Flexible document model for rapid development
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 | MongoDB | MySQL |
|---|---|---|
| Best databases for web apps | 75% #4 | 74% #6 |