MongoDB vs Redis
Fourteen of fourteen models named MongoDB first on the direct prompt; zero named Redis. Both were named by all fourteen models and MongoDB carries 82 labels and Redis 56, so the shares are not directly comparable.
Named in three categories this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the nosql databases page.
By framing
MongoDBFirst choices, of fourteen modelsRedis
Across every category in the November 2026 Edition, MongoDB and Redis were named in the same answer 145 times, of the 243 answers naming MongoDB and the 152 naming Redis. In those answers Redis took the first choice zero times and MongoDB eighty-nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | | |
MongoDB Redis first choice named as an alternative argued againstblank: not namedEach cell is one answer, MongoDB on the left and Redis on the right.The direct prompt
MongoDB first, Redis an alternative
14 of 14 modelsRedis was named in the answer but not as the choice, or not at all.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
MongoDB81%#1 of 12Redis0%#5 of 12What the models said about MongoDB
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid MongoDB if you need multi-document ACID transactions” MiniMax M2.5 · negative prompt · hard negative
“MongoDB: Do not casually trust deployment defaults... choose read and write concerns deliberately, define schemas in application code” Perplexity Sonar · negative prompt · soft negative
“over managed cloud services like MongoDB Atlas, DynamoDB, or Cosmos DB — the latter can incur unexpected costs” Grok 4.20 · budget prompt · soft negative
“MongoDB Atlas is the default first choice for mid-market B2B because of flexible document model, strong developer experience and multi-cloud portability.” Muse Glimmer 30B · direct prompt · first choice
“MongoDB remains one of the most popular document-based NoSQL databases, offering scalability, flexibility, and strong indexing capabilities.” Muse Glimmer 30B · comparative prompt · first choice
“MongoDB Atlas is a strong default for mid-sized B2B use cases such as CRM pipelines, customer profiles, product catalogs and content feeds” Muse Glimmer 30B · paraphrase prompt · first choice
What the models said about Redis
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid Redis as a sole data store for critical financial data.” MiniMax M2.5 · negative prompt · hard negative
“Redis as the only copy of important data — Don't assume data is durable just because it's in a database.” GPT-6 Luna · negative prompt · soft negative
“Redis is rarely used as a *primary* database for storage due to cost constraints and lack of durability” Qwen 3.7 Flash · direct prompt · soft negative
“Redis for a key-value database” GLM 4.7 FlashX · paraphrase prompt · first choice
“For caching, real-time, or session store: Redis (via ElastiCache or Redis Cloud) is almost always the right answer.” MiniMax M2.5 · scale prompt · alternative
“In-Memory / Fast Key-Value | Redis Enterprise, Dragonfly | Caching, session stores, real-time leaderboards.” Gemini 3.5 Flash · scale prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.