Deep dive into building scalable data layers
7 min readJust now
–
Hi! So far we have covered almost every key concept, but without a database nothing can be persisted, right? So, today I will walk you through two important Magic Libraries that make the database operations hustle free.
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You’ve built endpoints. You’ve added auth. You’ve written tests. But your data lives in a dictionary, or worse — it vanishes when the server restarts.
Time to connect to a real database. And in Python, that means making a choice: raw SQL, SQLAlchemy, or SQLModel? Sync or async? ORM or not?
Let’s cut through the confusion.
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SQLModel was created by the same author of FastAPI. It combines:
- **…
Deep dive into building scalable data layers
7 min readJust now
–
Hi! So far we have covered almost every key concept, but without a database nothing can be persisted, right? So, today I will walk you through two important Magic Libraries that make the database operations hustle free.
Press enter or click to view image in full size
You’ve built endpoints. You’ve added auth. You’ve written tests. But your data lives in a dictionary, or worse — it vanishes when the server restarts.
Time to connect to a real database. And in Python, that means making a choice: raw SQL, SQLAlchemy, or SQLModel? Sync or async? ORM or not?
Let’s cut through the confusion.
Press enter or click to view image in full size
SQLModel was created by the same author of FastAPI. It combines:
- Pydantic for validation and serialization
- SQLAlchemy for database operations
One model does both jobs.
Let’s install before getting started
pip install sqlmodel
Basic SQLModel Setup
from sqlmodel import SQLModel, Field…