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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon DynamoDB | 11% | #2 of 13 | 21% | 67 | 14 of 14 |
| Google Cloud Firestore | 2% | #7 of 13 | 0% | 11 | 9 of 14 |

## The direct prompt, model by model

- Mistral Small: amazon dynamodb first (first choices: Amazon DynamoDB, MongoDB) (alternatives: Azure Cosmos DB, Redis)
- Claude Haiku 4.5: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Google Cloud Firestore, PostgreSQL with JSON)
- GPT-5.4 mini: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra)
- Gemini 3.5 Flash: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Couchbase)
- Perplexity Sonar: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Azure Cosmos DB)
- Grok 4.1 Fast: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra)
- DeepSeek V4 Flash: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, PostgreSQL)
- Qwen 3.7 Flash: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Neo4j, PostgreSQL)
- GLM 4.7 FlashX: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Apache Cassandra, Couchbase)
- MiniMax M2.5: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, Couchbase)
- GPT-6 Luna: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB, PostgreSQL)
- Muse Glimmer 30B: neither first, one named (first choices: MongoDB) (alternatives: Amazon DynamoDB)
- Llama 4 Maverick: neither named (first choices: MongoDB)
- Kimi K2: neither named (first choices: MongoDB) (alternatives: Couchbase)

## What the models said about Amazon DynamoDB

- "Avoid DynamoDB as a primary application database unless your use case is a clean fit for key-value patterns" (Kimi K2, direct prompt, hard negative)
- "Avoid DynamoDB unless you are deeply invested in AWS" (GLM 4.7 FlashX, paraphrase prompt, hard negative)
- "AWS guidance says to avoid large items, reads on non-key attributes, and scans, which means it can be a poor fit if your access pattern is not key-centric" (Perplexity Sonar, negative prompt, soft negative)
- "I'd typically recommend starting with a managed document database (MongoDB Atlas or DynamoDB) if you want flexibility" (Claude Haiku 4.5, paraphrase prompt, first choice)
- "DynamoDB is a pragmatic default because it gives you managed key-value performance with document-style JSON values" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "Amazon DynamoDB – #1 of 31 tools in a 2026 round-up, and listed as best managed key-value at scale" (Muse Glimmer 30B, comparative 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.