# Managed relational databases for enterprise buyers: what AI models recommend, September 2026

IT AI Recommendation Index, September 2026 Edition. Asked as "managed relational database service" and as "hosted SQL database", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://it-ai-index.com/it-data/managed-relational-databases/enterprise/

**Standing:** Amazon RDS (tied with Amazon Aurora) leads with 30% of first choices; verdict contested. 53 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Amazon RDS | 30% | 13% | 46 |
| 2 | Amazon Aurora | 30% | 25% | 36 |
| 3 | Azure SQL Database | 15% | 18% | 49 |
| 4 | Google Cloud SQL | 8% | 12% | 48 |
| 5 | Oracle Autonomous Database | 2% | 15% | 13 |
| 6 | CockroachDB | 0% | 10% | 10 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Amazon Aurora, Amazon RDS; alternatives Azure SQL Database, Google Cloud SQL
- GPT-5.4 mini: Amazon Aurora, Amazon RDS; alternatives Azure SQL Database, Google Cloud SQL, Oracle Autonomous Database
- Gemini 3.5 Flash: Amazon Aurora; alternatives AlloyDB for PostgreSQL, Azure SQL Database, CockroachDB, Google Cloud Spanner
- Perplexity Sonar: Amazon RDS; alternatives Azure SQL Database, Google Cloud SQL, Oracle Database
- Grok 4.1 Fast: Amazon RDS; alternatives Azure SQL Database, Google Cloud SQL, Oracle, PostgreSQL
- Mistral Small: Google Cloud SQL; alternatives Amazon RDS, Azure SQL Database
- DeepSeek V4 Flash: Amazon RDS/Aurora; alternatives Azure SQL Database, Google Cloud SQL / AlloyDB
- Llama 4 Maverick: Amazon RDS, Google Cloud SQL
- Qwen 3.7 Flash: Amazon Aurora; alternatives Azure SQL Database, Google Cloud Spanner, Oracle Autonomous Database
- Kimi K2: Amazon Aurora; alternatives Azure SQL Database / Managed Instance, Google Cloud SQL / AlloyDB
- GLM 4.7 FlashX: Oracle Autonomous Database; alternatives Amazon RDS, Azure Database, Google Cloud SQL, Instaclustr
- MiniMax M2.5: Amazon Aurora, Azure SQL Database

## Sources the answers cite

59 of 72 answers came back with a source list, from 12 of 12 models. Sites named in the most answers:

- gitnux.org: 29 answers, 45 citations
- aws.amazon.com: 26 answers, 54 citations
- cloudexpat.com: 25 answers, 25 citations
- worldmetrics.org: 24 answers, 53 citations
- cloud.google.com: 22 answers, 34 citations
- tech-insider.org: 22 answers, 22 citations
- northflank.com: 15 answers, 19 citations
- g2.com: 14 answers, 22 citations

Pages named in the most answers:

- https://gitnux.org/service/managed-database (26 answers)
- https://cloudexpat.com/compare/rds-vs-azure-sql-vs-cloud-sql (25 answers)
- https://tech-insider.org/aws-rds-vs-azure-database-vs-google-cloud-sql-2026 (22 answers)
- https://aws.amazon.com/rds (20 answers)
- https://devtoolreviews.com/reviews/aws-rds-vs-google-cloud-sql-vs-azure-database-2026 (13 answers)
- https://northflank.com/blog/best-database-providers (13 answers)
- https://cloud.google.com/sql (12 answers)
- https://worldmetrics.org/service/managed-database (11 answers)
- https://cloudinsight.cc/en/blog/cloud-sql-solutions (10 answers)
- https://g2.com/discussions/what-are-the-leading-database-software-options-for-enterprise-level-companies (10 answers)

## Warned against

- Azure SQL Database: 9 of 49 labels negative. "Azure SQL is a strong managed relational offering... However, be aware of resource caps, licensing implications, and the need for robust disaster‑recovery across regions." (MiniMax M2.5, negative prompt)
- Amazon Aurora: 9 of 36 labels negative. "Avoid Serverless Auto-Scaling (e.g., Aurora Serverless v2) for High Baselines" (Gemini 3.5 Flash, budget prompt)
- Amazon RDS: 6 of 46 labels negative. "Verdict: Highest caution — often avoid for production core systems." (DeepSeek V4 Flash, negative prompt)
- PlanetScale: 5 of 7 labels negative. "PlanetScale shut down its database service for new users back in 2023" (DeepSeek V4 Flash, negative prompt)

## 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.