Two of fourteen models named Google Cloud SQL first on the direct prompt; zero named Azure SQL Database. Both were named by all fourteen models and Google Cloud SQL carries 66 labels and Azure SQL Database 56, so the shares are not directly comparable.
Named in one category 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, Google Cloud SQL and Azure SQL Database were named in the same answer 126 times, of the 186 answers naming Google Cloud SQL and the 159 naming Azure SQL Database. In those answers Azure SQL Database took the first choice eleven times and Google Cloud SQL sixteen.
| 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.
“extended support is paid, and Cloud SQL automatically enrolls EOL-version instances. Check the exact engine version and upgrade dates before committing.” GPT-6 Luna · negative prompt · soft negative
“it has the same class of cautions as other DBaaS offerings: you should check pricing, scaling model, maintenance control...” Perplexity Sonar · negative prompt · soft negative
“Less ideal for global/multi-region strong consistency writes.<br>- Scaling not as elastic for extreme loads.” Grok 4.1 Fast · negative prompt · soft negative
“I'd recommend considering Amazon RDS (Relational Database Service) or Google Cloud SQL as your primary options” GLM 4.7 FlashX · paraphrase prompt · first choice
“The top managed relational database services are Amazon RDS, Google Cloud SQL, Azure SQL Database” Perplexity Sonar · comparative prompt · first choice
“Amazon RDS or Google Cloud SQL offer the best balance of features, scalability, and reliability” Claude Haiku 4.5 · 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.
“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.