Two of fourteen models named Google Cloud SQL first on the direct prompt; zero named Neon. Google Cloud SQL was named by fourteen of the fourteen models and Neon by eleven and Google Cloud SQL carries 73 labels and Neon 20, so the shares are not directly comparable.
Named in two categories 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 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, Google Cloud SQL and Neon were named in the same answer fifty-three times, of the 192 answers naming Google Cloud SQL and the 71 naming Neon. In those answers Neon took the first choice six times and Google Cloud SQL two.
| 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.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six 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
“If you're just starting out: Use Neon (free tier) or Supabase (free tier).” Kimi K2 · budget prompt · first choice
“Go with Supabase or Neon if you are building a new web app” Qwen 3.7 Flash · budget prompt · first choice
“consider Neon instead: its Postgres pricing is usage-based with no monthly minimum, and it has a free tier” GPT-6 Luna · budget 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.