One of fourteen models named Amazon Aurora first on the direct prompt; zero named Supabase. Amazon Aurora was named by thirteen of the fourteen models and Supabase by twelve and Amazon Aurora carries 50 labels and Supabase 24, so the shares are not directly comparable.
Named in two categories this edition.
Named in three 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 Aurora and Supabase were named in the same answer forty-two times, of the 139 answers naming Amazon Aurora and the 95 naming Supabase. In those answers Supabase took the first choice ten times and Amazon Aurora three.
| 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
“Experts advise caution or avoidance for production core systems unless absolutely necessary.” Llama 4 Maverick · negative prompt · hard negative
“Avoid Overkill: Skip premium options like Amazon Aurora or Azure SQL Managed Instance” Grok 4.20 · budget prompt · hard negative
“If your infrastructure is already on AWS, choose Amazon Aurora PostgreSQL. It balances reliability, compliance, auto-scaling, and industry-standard adoption.” Gemini 3.5 Flash · direct prompt · first choice
“Best Overall for AWS Infrastructure: Amazon Aurora PostgreSQL ... is the gold standard for mid-sized B2B platforms.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Choose Amazon Aurora if you're on AWS or need maximum scalability — it provides the best price/performance ratio” Kimi K2 · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“can be attractive depending on your architecture, but I'd be more cautious for core production systems” GPT-5.4 mini · paraphrase prompt · soft negative
“These are rising for mid-sized B2B but less "enterprise battle-tested" than the big three.” Grok 4.20 · paraphrase prompt · soft negative
“Supabase, for example, pauses free projects after inactivity” Perplexity Sonar · negative prompt · soft negative
“Go with Supabase or Neon if you are building a new web app, want a free tier that lasts months” Qwen 3.7 Flash · budget prompt · first choice
“Supabase (PostgreSQL) and Google Cloud SQL (PostgreSQL or MySQL) are your best bets” GLM 4.7 FlashX · budget prompt · first choice
“If you're just starting out: Use Neon (free tier) or Supabase (free tier).” Kimi K2 · budget 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.