# Amazon Aurora: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 30 judge labels across 1 categories by 11 of 12 models. Page: https://it-ai-index.com/vendors/amazon-aurora/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Managed relational databases | 11% | 3 | 17% | 30 |

## What the models said for it

- "The Corporate Standard: AWS RDS / Amazon Aurora ... Amazon Aurora (preferred over standard RDS for higher performance and scalability)" (Qwen 3.7 Flash, Managed databases)
- "If you are on AWS and want a zero-friction, incredibly robust infrastructure: Choose AWS Aurora PostgreSQL." (Gemini 3.5 Flash, Managed databases)
- "Amazon Aurora PostgreSQL is the industry standard that will grow with you from $10M to $100M+ in revenue" (Gemini 3.5 Flash, Managed databases)
- "Prefer open-core/platform-agnostic managed services: AWS Aurora PostgreSQL/MySQL (if you're already on AWS)" (DeepSeek V4 Flash, Managed databases)

## And against it

- "Avoid v2 for hobby projects, staging/dev environments, or low-traffic applications." (Gemini 3.5 Flash, Managed databases)
- "While Aurora is SQL-compatible, its underlying storage and protocol layers are proprietary to AWS. Migrating a complex, highly optimized Aurora schema ... can be difficult and expensive." (GLM 4.7 FlashX, Managed databases)
- "*Proprietary (e.g., Amazon Aurora, Cosmos DB):* Faster performance for complex workloads, but extremely difficult and expensive to migrate away from" (Qwen 3.7 Flash, Managed databases)
- "Highest complaints on escalating costs (93% markup vs. raw EC2; doubles with HA), vendor lock-in, no root access" (Grok 4.1 Fast, Managed databases)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.