Prompt
What should I use for a new app: PostgreSQL or MySQL?
Latest observation
For a new app, I’d usually recommend PostgreSQL unless you have a specific reason to choose MySQL.
Why PostgreSQL is often the better default
- Stronger feature set: richer SQL support, better indexing options, JSON support, window functions, CTEs, etc.
- Better data integrity: tends to enforce correctness more strictly.
- Great for complex queries: good choice if your app may grow in complexity.
- Excellent extensibility: custom types, functions, and extensions are a big plus.
When MySQL can be a good choice
- Your team already knows it well
- You’re working with an existing MySQL-based stack
- Your app is very simple and you want a familiar, widely supported option
- You’re using a platform or toolchain that strongly prefers MySQL
Simple rule of thumb
- Choose PostgreSQL for most greenfield projects.
- Choose MySQL if you already have operational or team reasons to.
If you want, I can also give you:
- a PostgreSQL vs MySQL comparison table, or
- a recommendation based on your app type (SaaS, e-commerce, mobile backend, etc.).
Brands
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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