Amazon Aurora vs Neon
Four of fourteen models named Amazon Aurora first on the direct prompt; zero named Neon. Amazon Aurora was named by thirteen of the fourteen models and Neon by ten and Amazon Aurora carries 39 labels and Neon 23, 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
Amazon AuroraFirst choices, of fourteen modelsNeon
Across every category in the October 2026 Edition, Amazon Aurora and Neon were named in the same answer twenty-six times, of the 107 answers naming Amazon Aurora and the 78 naming Neon. In those answers Neon took the first choice two times and Amazon Aurora four.
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 | | | |
Amazon Aurora Neon first choice named as an alternative argued againstblank: not namedEach cell is one answer, Amazon Aurora on the left and Neon on the right.The direct prompt
Amazon Aurora first, Neon an alternative
4 of 14 modelsNeon was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Amazon Aurora12%#2 of 9Neon10%#4 of 9Amazon Aurora26%#1 of 8Neon0%#– of 8What the models said about Amazon Aurora
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Experts advise caution or avoidance for production environments where stable performance is critical.” Mistral Small · negative prompt · hard negative
“Aurora uses internal optimizations and sometimes proprietary features ... that can make migrating back to standard MySQL/Postgres difficult” Qwen 3.7 Flash · negative prompt · soft negative
“While Aurora is popular, be cautious about: Complex pricing - I/O charges can escalate unpredictably” Kimi K2 · negative prompt · soft negative
“a recommended hosted SQL database could be PostgreSQL with a cloud-managed service like AWS Aurora, as it balances capability, cost, and operational simplicity” Llama 4 Maverick · paraphrase prompt · first choice
“Pick AWS RDS/Aurora for broadest engine breadth and ecosystem maturity, and for cloud-native Aurora performance with MySQL/PostgreSQL compatibility.” Muse Glimmer 30B · comparative prompt · first choice
“is Amazon Relational Database Service (RDS) or Amazon Aurora, as they are fully managed relational database services” Llama 4 Maverick · direct 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. 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
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.