PlanetScale vs Firecrawl
Side-by-side comparison to help you choose the best tool.
PlanetScale
freemiumPlanetScale is a MySQL-compatible serverless database platform known for its branching workflow and horizontal sharding features. Built on Vitess (the technology behind YouTube's database), it handles massive scale while enabling safe schema changes through non-blocking migrations. PlanetScale AI features include AI query optimisation data for identifying and fixing slow queries.
Firecrawl
freemiumFirecrawl is an AI-friendly web scraping API that converts any website into clean, LLM-ready Markdown for AI applications. Unlike traditional scrapers, it handles JavaScript rendering, authentication, and complex site structures - returning clean Markdown that can be fed directly to LLMs for RAG, research, and data extraction. With a simple API and generous free tier, it is the standard tool for AI web data collection.
| Feature | PlanetScale | Firecrawl |
|---|---|---|
| Pricing | freemium | freemium |
| Category | - | - |
| Rating | 4.5 | 4.5 |
| Best For | Developers needing a serverless, horizontally scalable MySQL database with branching for safe schema changes in production AI applications | AI developers building RAG applications and agents that need to scrape and process web content into LLM-ready Markdown format |
| Views | 5 | 5 |
Pros
- Handles YouTube-scale traffic on MySQL
- Branching enables safe schema migrations
- Non-blocking DDL is a game-changer for live databases
Cons
- No foreign keys (Vitess limitation)
- MySQL only
Pros
- Clean Markdown output is immediately LLM-ready
- Handles JavaScript-heavy sites
- Simple API with generous free tier
Cons
- Some sites block scraping regardless
- Credits required for high-volume crawling
- Serverless MySQL (Vitess-based)
- Database branching
- Non-blocking schema changes
- Horizontal sharding at scale
- AI query insights
- Web-to-Markdown conversion
- JavaScript rendering
- Full-site crawling
- Structured data extraction
- LLM-ready output