Eleven of twelve models named Amazon RDS first on the direct prompt; four named Amazon Aurora. Amazon RDS was named by twelve of the twelve models and Amazon Aurora by eleven and Amazon RDS carries 59 labels and Amazon Aurora 30, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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.
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.
“Amazon has significantly less detailed documentation for AWS RDS limitations compared to Azure SQL. AWS RDS SQL Server lacks the native backup solution for restoring a database to point in time” Claude Haiku 4.5 · negative prompt · soft negative
“Amazon RDS: Be cautious if you need *extreme write throughput*, *near-infinite horizontal scaling*, *full engine control*, or *global write distribution*” Perplexity Sonar · negative prompt · soft negative
“it may not be suitable for applications that require custom kernel parameters, filesystem-level tuning, or unsupported database extensions” Llama 4 Maverick · negative prompt · soft negative
“Supported Engines: Most comprehensive—supports 6 engines ... Choose AWS RDS/Aurora if you need broad engine support and cloud-native performance” MiniMax M2.5 · comparative prompt · first choice
“For Most Users: Start with AWS RDS (broadest engines, mature) or Google Cloud SQL (price/performance edge)—but POC costs first.” Grok 4.1 Fast · negative prompt · first choice
“The Corporate Standard: AWS RDS / Amazon Aurora ... Amazon Aurora (preferred over standard RDS for higher performance and scalability)” Qwen 3.7 Flash · direct 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.
“Avoid v2 for hobby projects, staging/dev environments, or low-traffic applications.” Gemini 3.5 Flash · negative prompt · hard negative
“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 · negative prompt · soft negative
“*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 · scale prompt · soft negative
“The Corporate Standard: AWS RDS / Amazon Aurora ... Amazon Aurora (preferred over standard RDS for higher performance and scalability)” Qwen 3.7 Flash · direct prompt · first choice
“If you are on AWS and want a zero-friction, incredibly robust infrastructure: Choose AWS Aurora PostgreSQL.” Gemini 3.5 Flash · direct prompt · first choice
“Amazon Aurora PostgreSQL is the industry standard that will grow with you from $10M to $100M+ in revenue” Gemini 3.5 Flash · paraphrase prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.