Google MemorystorevsRedis
How 10 AI models weigh Google Memorystore against Redis on the 1 buying question where both came up.
- Google Memorystore
- 18%of answers named it
- Redis
- 76%of answers named it
- Placed higher
- 8–31times Google Memorystore vs Redis, over 39 model rankings that listed either
- Models leaning
- 0–10toward Google Memorystore 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 | Google Memorystore | Redis | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 25% | 92% | 1–3 | Redis |
| GPT-6 Luna | 17% | 75% | 1–3 | Redis |
| Gemini 4 Argon | 25% | 75% | 1–3 | Redis |
| Qwen 3.8 Flash | 25% | 75% | 1–3 | Redis |
| DeepSeek V4 Pro | 0% | 75% | 0–4 | Redis |
| GLM-5.3 | 25% | 75% | 1–3 | Redis |
| Kimi K3 | 17% | 75% | 1–3 | Redis |
| MiniMax M3 | 17% | 75% | 0–3 | Redis |
| Mistral Large 4 | 17% | 75% | 1–3 | Redis |
| Nemotron 3 Ultra | 18% | 73% | 1–3 | Redis |
What the models say about Google Memorystore
One reason per model, from the shared questions
- Claude Haiku 5.5
Managed Redis and Memcached on Google Cloud; hands-off operations and good availability.
- GPT-6 Luna
Convenient managed Redis and Memcached for workloads already on Google Cloud.
- Gemini 4 Argon
Turnkey management and low-latency VPC peering make it essential for teams committed to Google Cloud.
- Qwen 3.8 Flash
Fully managed Redis on GCP with tight IAM/VPC integration.
- GLM-5.3
Low-latency managed Redis for GCP workloads despite a high entry cost.
- Kimi K3
Reliable managed Redis and Memcached with straightforward GCP operations.
- Mistral Large 4
Fully managed Redis/Memcached with strong GCP native support.
- Nemotron 3 Ultra
Managed Redis/Memcached, tight GCP integration
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 | Google Memorystore | Redis |
|---|---|---|
| Best caching tools for web apps | 18% #17 | 76% #2 |
| Best databases for web apps | · | 86% #1 |