MongoDBvsRedis
How 10 AI models weigh MongoDB against Redis on the 1 buying question where both came up.
- MongoDB
- 75%of answers named it
- Redis
- 86%of answers named it
- Placed higher
- 30–4times MongoDB vs Redis, over 34 model rankings that listed either
- Models leaning
- 10–0toward MongoDB vs Redis
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 | Redis | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 75% | 75% | 3–0 | MongoDB |
| GPT-6 Luna | 75% | 100% | 3–1 | MongoDB |
| Gemini 4 Argon | 75% | 75% | 3–0 | MongoDB |
| Qwen 3.8 Flash | 75% | 75% | 3–0 | MongoDB |
| DeepSeek V4 Pro | 75% | 83% | 3–0 | MongoDB |
| GLM-5.3 | 75% | 75% | 3–0 | MongoDB |
| Kimi K3 | 75% | 92% | 3–1 | MongoDB |
| MiniMax M3 | 75% | 100% | 3–1 | MongoDB |
| Mistral Large 4 | 75% | 100% | 3–1 | MongoDB |
| Nemotron 3 Ultra | 80% | 80% | 3–0 | MongoDB |
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 Redis
One reason per model, from the shared questions
- Claude Haiku 5.5
Fast in-memory store, excellent for caching, sessions, and real-time features.
- GPT-6 Luna
Outstanding in-memory store for caching, sessions, queues, and other latency-sensitive workloads.
- Gemini 4 Argon
Essential in-memory speed for caching, session management, and real-time web application features.
- Qwen 3.8 Flash
Essential companion for caching, sessions, and queues.
- DeepSeek V4 Pro
In-memory speed for caching, sessions, queues, and real-time features.
- GLM-5.3
Essential for caching and sessions; pairs with any primary database.
- Kimi K3
In-memory speed for caching, sessions, queues, and real-time web features.
- MiniMax M3
Lightning-fast in-memory store for caching, sessions, and queues.
- Mistral Large 4
Blazing-fast in-memory store perfect for caching, sessions, and real-time features.
- Nemotron 3 Ultra
Lightning-fast in-memory caching and sessions
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 | Redis |
|---|---|---|
| Best databases for web apps | 75% #4 | 86% #1 |
| Best caching tools for web apps | · | 76% #2 |