FastAPI has quickly become one of the most loved web frameworks in the Python ecosystem—and for good reason. Combine it with PostgreSQL and SQLAlchemy, and you’ve got a backend stack that’s fast, scalable, and production-ready.
In my latest blog post, I walk through how to build a complete CRUD API using:
FastAPI for high-performance web routing
PostgreSQL for a rock-solid relational database
SQLAlchemy as the ORM layer for clean, maintainable code
Pydantic for type-safe request/response validation
Why this stack?
Speed – FastAPI’s async-first design makes I/O blazing fast.
Reliability – PostgreSQL is proven and powerful for transactional workloads.
Developer Experience – Built-in docs, strong typing, and auto-generated OpenAPI specs.
Scalability – Clean separation of concerns for easy growth and refactoring.
What’s Inside the Guide
Project structure for scalability
Database setup & SQLAlchemy models
Full CRUD operations with FastAPI routers
If you're looking to build modern APIs with performance and clean code in mind, this tutorial is for you.
👉 Read the full blog post here: https://alkairis.medium.com/why-fastapi-postgresql-is-the-ultimate-stack-for-python-crud-apis-c4444bd83d19
Feedback is welcome! I’d love to hear your thoughts or improvements. And if you find the post helpful, consider sharing it with someone building their next Python backend.
Thanks for reading.
Top comments (0)