# Google Cloud Firestore alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 216 of the 252 answers in the 1 category where Google Cloud Firestore holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/google-cloud-firestore/alternatives/

## Named instead, most often (every category and segment added)

- MongoDB: 108
- Amazon DynamoDB: 19
- Couchbase: 9
- Azure Cosmos DB: 7
- Redis: 6
- PostgreSQL: 5

## NoSQL databases

**Small business**: 57 of 84 answers did not name Google Cloud Firestore (Google Cloud Firestore is #3 of 10 at 6%).

- MongoDB: first choice in 32 of those 57
- PostgreSQL: first choice in 5 of those 57
- Amazon DynamoDB: first choice in 3 of those 57
- Couchbase: first choice in 2 of those 57
- Apache CouchDB: first choice in 1 of those 57
- Azure Cosmos DB: first choice in 1 of those 57
- Firebase Realtime Database: first choice in 1 of those 57
- PostgreSQL with JSONB columns: first choice in 1 of those 57

**Mid-market**: 78 of 84 answers did not name Google Cloud Firestore (Google Cloud Firestore is #7 of 13 at 2%).

- MongoDB: first choice in 41 of those 78
- Amazon DynamoDB: first choice in 7 of those 78
- Redis: first choice in 4 of those 78
- Couchbase: first choice in 2 of those 78
- Apache Cassandra: first choice in 1 of those 78
- Google Firebase Firestore: first choice in 1 of those 78
- MongoDB Atlas Free Tier: first choice in 1 of those 78
- Neo4j: first choice in 1 of those 78

**Enterprise**: 81 of 84 answers did not name Google Cloud Firestore.

- MongoDB: first choice in 35 of those 81
- Amazon DynamoDB: first choice in 9 of those 81
- Azure Cosmos DB: first choice in 6 of those 81
- Couchbase: first choice in 5 of those 81
- Apache Cassandra: first choice in 3 of those 81
- Redis: first choice in 2 of those 81
- Aerospike: first choice in 1 of those 81
- DataStax: first choice in 1 of those 81

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.