Ten of fourteen models named Amazon RDS first on the direct prompt; zero named Azure SQL Database. Both were named by all fourteen models and Amazon RDS carries 70 labels and Azure SQL Database 56, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the managed relational databases page.
Across every category in the October 2026 Edition, Amazon RDS and Azure SQL Database were named in the same answer 125 times, of the 189 answers naming Amazon RDS and the 159 naming Azure SQL Database. In those answers Azure SQL Database took the first choice eight times and Amazon RDS forty-seven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Some models explicitly recommend avoiding RDS for production core systems unless absolutely necessary.” Mistral Small · negative prompt · hard negative
“are cautious with AWS RDS SQL Server for point-in-time restore expectations and with any RDS engine for globally distributed strong-consistency writes” Muse Glimmer 30B · negative prompt · soft negative
“It is widely used and legitimate, but multiple sources note that it can carry premium instance pricing, hidden ancillary costs” Perplexity Sonar · negative prompt · soft negative
“Amazon RDS, for example, supports MySQL, PostgreSQL, MariaDB, SQL Server, Oracle, and Amazon Aurora, and automates provisioning, patching, backups, and failover.” Llama 4 Maverick · comparative prompt · first choice
“Pick AWS RDS/Aurora for broadest engine breadth and ecosystem maturity, and for cloud-native Aurora performance with MySQL/PostgreSQL compatibility.” Muse Glimmer 30B · comparative prompt · first choice
“The top managed relational database services are Amazon RDS, Google Cloud SQL, Azure SQL Database, and Oracle Autonomous Database” Perplexity Sonar · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Azure SQL Database, while generally robust, has resource caps and licensing implications that require careful planning” Mistral Small · negative prompt · soft negative
“Standard Azure SQL Database strips out many legacy features (like SSIS, SQL Agent jobs, and certain system views)” Qwen 3.7 Flash · negative prompt · soft negative
“These are solid managed services, but Azure's own guidance warns not to choose solely by engine compatibility” Perplexity Sonar · negative prompt · soft negative
“Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine” Perplexity Sonar · comparative prompt · first choice
“Amazon RDS or Azure SQL Database would be the safest bets depending on your existing tech stack” MiniMax M2.5 · paraphrase prompt · first choice
“Best for Microsoft Shops ... Lower first-choice share (4%) in general recommendations, but very strong within Microsoft-centric environments” Kimi K2 · direct prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.