Eleven of twelve models named Amazon RDS first on the direct prompt; one named Google Cloud SQL. Both were named by all twelve models and Amazon RDS carries 59 labels and Google Cloud SQL 53, 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.
“it may not be suitable for applications that require globally distributed transactional writes across multiple regions with strong consistency” Llama 4 Maverick · negative prompt · soft negative
“Google Cloud SQL is great for simplicity, but it is cautionary for applications requiring high throughput or extreme elasticity.” GLM 4.7 FlashX · negative prompt · soft negative
“Cloud SQL for PostgreSQL/MySQL: generally reputable, but version lifecycle/deprecation policy matters a lot.” GPT-5.4 mini · negative prompt · soft negative
“AWS RDS with PostgreSQL or Google Cloud SQL are solid choices due to their balance of features, reliability, ease of management, and cost-effectiveness” Claude Haiku 4.5 · direct prompt · first choice
“Google Cloud SQL (PostgreSQL) offers the best balance of managed simplicity, cost, and reliability for a mid-sized B2B company” DeepSeek V4 Flash · paraphrase prompt · first choice
“Often the most cost-effective for mid-tier workloads... Google Cloud SQL is often the most cost-effective at mid-tier levels.” Mistral Small · 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.