Twelve of fourteen models named Amazon RDS first on the direct prompt; two named Google Cloud SQL. Both were named by all fourteen models and Amazon RDS carries 72 labels and Google Cloud SQL 73, 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 November 2026 Edition, Amazon RDS and Google Cloud SQL were named in the same answer 164 times, of the 200 answers naming Amazon RDS and the 192 naming Google Cloud SQL. In those answers Google Cloud SQL took the first choice five times and Amazon RDS fifty-four.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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.” Muse Glimmer 30B · negative prompt · hard negative
“Some models explicitly recommend avoiding RDS for production core systems unless absolutely necessary.” Llama 4 Maverick · negative prompt · hard negative
“AWS RDS – hidden markup, vendor lock‑in, limited operational control.” GLM 4.7 FlashX · negative prompt · hard negative
“AWS RDS or Azure SQL Database are solid default choices due to their maturity, reliability, compliance certifications, and strong support ecosystems” Claude Haiku 4.5 · paraphrase prompt · first choice
“Amazon's Relational Database Service offers a free tier for the first 12 months... AWS Lightsail is also budget-friendly for smaller workloads.” Claude Haiku 4.5 · budget prompt · first choice
“Broad engine choice and familiar database behavior... You're already on AWS, want a conventional engine, or need Oracle, SQL Server, or Db2.” GPT-6 Luna · 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.
“Avoid (or treat with extreme caution): - Google Cloud SQL – accidental deletion risk, limited backup/recovery, low control over storage.” GLM 4.7 FlashX · negative prompt · hard negative
“Why avoid the "Big Three" (AWS, Azure, Google)?” Qwen 3.7 Flash · budget prompt · hard negative
“Cloud SQL is primarily designed for single-zone or cross-replication setups within a region. It lacks native, synchronous horizontal scaling” Qwen 3.7 Flash · negative prompt · soft negative
“Google Cloud SQL (particularly its Enterprise Plus edition for PostgreSQL) stands out as the best managed relational database service for most mid-market B2B companies” Grok 4.20 · direct prompt · first choice
“Supabase (PostgreSQL) and Google Cloud SQL (PostgreSQL or MySQL) are your best bets” GLM 4.7 FlashX · budget prompt · first choice
“Google Cloud SQL keeps things centralized for those already invested in Google's ecosystem” Claude Haiku 4.5 · comparative prompt · first choice
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.