KeyDBvsRedis
How 10 AI models weigh KeyDB against Redis on the 1 buying question where both came up.
- KeyDB
- 38%of answers named it
- Redis
- 76%of answers named it
- Placed higher
- 1–32times KeyDB vs Redis, over 33 model rankings that listed either
- Models leaning
- 0–10toward KeyDB 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 | KeyDB | Redis | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 8% | 92% | 0–4 | Redis |
| GPT-6 Luna | 42% | 75% | 0–3 | Redis |
| Gemini 4 Argon | 25% | 75% | 0–3 | Redis |
| Qwen 3.8 Flash | 58% | 75% | 1–3 | Redis |
| DeepSeek V4 Pro | 8% | 75% | 0–4 | Redis |
| GLM-5.3 | 50% | 75% | 0–3 | Redis |
| Kimi K3 | 92% | 75% | 0–3 | Redis |
| MiniMax M3 | 58% | 75% | 0–3 | Redis |
| Mistral Large 4 | 25% | 75% | 0–3 | Redis |
| Nemotron 3 Ultra | 9% | 73% | 0–3 | Redis |
What the models say about KeyDB
One reason per model, from the shared questions
- GPT-6 Luna
Multithreaded Redis-compatible cache that can serve demanding workloads.
- Gemini 4 Argon
High-performance, multi-threaded fork of Redis that scales vertically on multicore hardware with ease.
- Qwen 3.8 Flash
Multithreaded Redis-compatible cache offering higher throughput per node.
- GLM-5.3
Redis-compatible multithreaded alternative, strong throughput on one box.
- Kimi K3
Multithreaded Redis-compatible cache with better throughput.
- MiniMax M3
Redis-compatible, multithreaded cache with higher throughput.
- Mistral Large 4
Redis-compatible fork with multithreading, better CPU utilization.
What the models say about Redis
One reason per model, from the shared questions
- Claude Haiku 5.5
Fast in-memory store, versatile data structures, and the de facto standard for application caching.
- GPT-6 Luna
Versatile in-memory data store with broad ecosystem support for application caching.
- Gemini 4 Argon
The industry standard for in-memory data structures, session caching, and high-throughput web performance.
- Qwen 3.8 Flash
De facto standard for fast in-memory caching of app data and sessions.
- DeepSeek V4 Pro
Blazing fast in-memory data store; de facto standard for caching, session storage, and queuing.
- GLM-5.3
Industry-standard in-memory store; versatile caching, sessions, and pub/sub.
- Kimi K3
Industry-standard in-memory cache; versatile, fast, huge ecosystem.
- MiniMax M3
Fastest in-memory data store with rich data structures.
- Mistral Large 4
Blazing fast in-memory store, industry standard for caching and sessions.
- Nemotron 3 Ultra
In-memory speed, versatile data structures
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 | KeyDB | Redis |
|---|---|---|
| Best caching tools for web apps | 38% #9 | 76% #2 |
| Best databases for web apps | · | 86% #1 |