Supabase vs Neon
Zero of fourteen models named Supabase first on the direct prompt; zero named Neon. Supabase was named by twelve of the fourteen models and Neon by eleven and Supabase carries 24 labels and Neon 20, so the shares are not directly comparable.
Named in three 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.
By framing
SupabaseFirst choices, of fourteen modelsNeon
Across every category in the November 2026 Edition, Supabase and Neon were named in the same answer sixty-one times, of the 95 answers naming Supabase and the 71 naming Neon. In those answers Neon took the first choice two times and Supabase nineteen.
Every model, every framing
| 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 |
Supabase Neon first choice named as an alternative argued againstblank: not namedEach cell is one answer, Supabase on the left and Neon on the right.The direct prompt
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Supabase29%#1 of 8Neon7%#4 of 8What the models said about Supabase
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
What the models said about Neon
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.