One of twelve models named Google Cloud SQL first on the direct prompt; four named Amazon Aurora. Google Cloud SQL was named by twelve of the twelve models and Amazon Aurora by eleven and Google Cloud SQL carries 53 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.
“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
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.