Does FastAPI Work With SQLite?

Fully CompatibleLast verified: 2026-02-20

FastAPI and SQLite work excellently together for building lightweight, production-ready APIs with zero database setup overhead.

Quick Facts

Compatibility
full
Setup Difficulty
Easy
Official Integration
No — community maintained
Confidence
high
Minimum Versions
FastAPI: 0.68.0

How FastAPI Works With SQLite

FastAPI doesn't have built-in database support, but SQLite integrates seamlessly through ORM libraries like SQLAlchemy or Tortoise-ORM, which FastAPI's creator explicitly endorses. You define models in Python, SQLAlchemy handles the SQL generation, and FastAPI's dependency injection system passes database sessions to route handlers cleanly. The combination is ideal for prototypes, small-to-medium projects, and edge deployments because SQLite requires no separate server—the database is just a file on disk. FastAPI's async support pairs well with async SQLAlchemy (via sqlalchemy[asyncio]) for non-blocking database queries. For concurrent writes or high-traffic APIs, SQLite becomes a bottleneck since it locks the entire database during writes, making PostgreSQL/MySQL better choices at scale. Most developers use SQLAlchemy Core or the ORM layer with FastAPI's Depends() for clean, testable database access patterns.

Best Use Cases

Rapid API prototyping and MVPs where database setup overhead matters
Single-instance deployments, edge computing, or embedded systems with file-based persistence
Small internal tools, admin dashboards, and low-traffic microservices
Development and testing environments where production-grade database infrastructure isn't needed

Quick Setup

bash
pip install fastapi uvicorn sqlalchemy
python
from fastapi import FastAPI, Depends
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import declarative_base, sessionmaker, Session

engine = create_engine("sqlite:///./test.db")
Base = declarative_base()

class User(Base):
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    name = Column(String)

Base.metadata.create_all(bind=engine)
SessionLocal = sessionmaker(bind=engine)

def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

app = FastAPI()

@app.post("/users/")
def create_user(name: str, db: Session = Depends(get_db)):
    user = User(name=name)
    db.add(user)
    db.commit()
    return user

@app.get("/users/{user_id}")
def get_user(user_id: int, db: Session = Depends(get_db)):
    return db.query(User).filter(User.id == user_id).first()

Known Issues & Gotchas

critical

SQLite locks during writes, blocking concurrent requests

Fix: Use SQLite only for low-concurrency scenarios (<10 concurrent users). Migrate to PostgreSQL/MySQL for production APIs with heavy write loads. Enable WAL (Write-Ahead Logging) mode for modest concurrency improvements.

warning

Async SQLAlchemy requires sqlalchemy[asyncio] extra; standard SQLite driver is sync-only

Fix: Install 'pip install sqlalchemy[asyncio]' and use aiosqlite. Or accept sync queries in async routes (they'll block the event loop but work fine for light traffic).

warning

SQLite doesn't enforce foreign key constraints by default

Fix: Execute 'PRAGMA foreign_keys = ON' in your database initialization to enable constraint enforcement.

info

Database file location confusion in deployed containers

Fix: Use absolute paths or environment variables for database location. Ensure the FastAPI process has write permissions to the directory.

Alternatives

  • FastAPI + PostgreSQL: Better for production, supports concurrent writes and advanced features
  • FastAPI + MongoDB: Document-oriented database, useful for unstructured data and rapid schema evolution
  • FastAPI + DynamoDB: Serverless option for AWS deployments without managing database infrastructure

Resources

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