Neon vs Azure SQL Database
Zero of fourteen models named Neon first on the direct prompt; zero named Azure SQL Database. Neon was named by ten of the fourteen models and Azure SQL Database by fourteen and Neon carries 23 labels and Azure SQL Database 56, so the shares are not directly comparable.
Named in two categories 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.
By framing
NeonFirst choices, of fourteen modelsAzure SQL Database
Across every category in the October 2026 Edition, Neon and Azure SQL Database were named in the same answer thirty-six times, of the 78 answers naming Neon and the 159 naming Azure SQL Database. In those answers Azure SQL Database took the first choice one time and Neon seven.
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 4.1 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 | | | | | | |
Neon Azure SQL Database first choice named as an alternative argued againstblank: not namedEach cell is one answer, Neon on the left and Azure SQL Database on the right.The direct prompt
Neither was the first choice, one was named
10 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Neon10%#5 of 8Azure SQL Database4%#6 of 8Azure SQL Database24%#2 of 8Neon0%#– of 8What the models said about Neon
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Supabase or Neon (both serverless PostgreSQL) stand out as the best managed relational database services” Grok 4.1 Fast · budget prompt · first choice
“or Neon if you have very sporadic usage patterns and want to minimize costs” Kimi K2 · budget prompt · first choice
“For a budget-conscious company using PostgreSQL, I'd start with Neon” GPT-6 Luna · budget prompt · first choice
What the models said about Azure SQL Database
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.