# MongoDB vs Google Cloud Firestore: which do AI models recommend for nosql, October 2026

IT AI Recommendation Index, October 2026 Edition, NoSQL databases. Fourteen of fourteen models named MongoDB first on the direct prompt; zero named Google Cloud Firestore. Page: https://it-ai-index.com/it-data/nosql-databases/mongodb-vs-google-cloud-firestore/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| MongoDB | 74% | #1 of 13 | 13% | 82 | 14 of 14 |
| Google Cloud Firestore | 2% | #7 of 13 | 0% | 11 | 9 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Google Cloud Firestore, PostgreSQL with JSON)
- GPT-5.4 mini: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra)
- Gemini 3.5 Flash: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Couchbase)
- Perplexity Sonar: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Azure Cosmos DB)
- Grok 4.1 Fast: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra)
- Mistral Small: mongodb first (first choices: Amazon DynamoDB, MongoDB) (alternatives: Azure Cosmos DB, Redis)
- DeepSeek V4 Flash: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, PostgreSQL)
- Llama 4 Maverick: mongodb first (first choices: MongoDB)
- Qwen 3.7 Flash: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Neo4j, PostgreSQL)
- Kimi K2: mongodb first (first choices: MongoDB) (alternatives: Couchbase)
- GLM 4.7 FlashX: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase)
- MiniMax M2.5: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, Couchbase)
- GPT-6 Luna: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB, PostgreSQL)
- Muse Glimmer 30B: mongodb first (first choices: MongoDB) (alternatives: Amazon DynamoDB)

## What the models said about MongoDB

- "MongoDB's own docs warn that sharded clusters require careful planning and that poor shard-key choice can hurt scalability and performance." (GPT-5.4 mini, negative prompt, soft negative)
- "The most popular document database and production-ready, but with a long history of internet-exposed instances and NoSQL injection risk." (Muse Glimmer 30B, negative prompt, soft negative)
- "If you need a quick start with flexible JSON documents and strong consistency: MongoDB Community Edition self-hosted, or Atlas Free/Flex for a managed free tier." (Muse Glimmer 30B, budget prompt, first choice)
- "Often the default choice for B2B applications... For most mid-market B2B companies without extreme scale requirements, MongoDB ... are safe bets." (Claude Haiku 4.5, direct prompt, first choice)
- "MongoDB Community Edition is often considered the most popular choice for budget-conscious companies due to its balance of features and ease of use." (Claude Haiku 4.5, budget prompt, first choice)

## What the models said about Google Cloud Firestore

- "If you do not have IT staff and just want to launch an MVP quickly, start with Firebase (Firestore)" (Qwen 3.7 Flash, budget prompt, first choice)
- "For a managed cloud option, Azure Cosmos DB, Amazon DynamoDB, or Google Cloud Firestore are all common consumption-based choices." (Perplexity Sonar, paraphrase prompt, alternative)
- "Cloud Firestore has a free quota, including 1 GiB of stored data, 50,000 reads/day" (GPT-6 Luna, budget prompt, alternative)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.