Backend Technology Comparisons
Honest, experience-based comparisons of backend frameworks, databases, tools, and technologies. No affiliate bias, just real engineering perspective.
FastAPI vs Django
An honest, experience-based comparison of Python's two most popular web frameworks. FastAPI excels at modern APIs; Django shines for full-stack applications.
Read comparison → // Python FrameworksFastAPI vs Flask
FastAPI and Flask are both lightweight Python frameworks, but they take fundamentally different approaches. FastAPI is built for modern async APIs; Flask is a minimalist foundation you build upon.
Read comparison → // API ArchitectureREST vs GraphQL
REST and GraphQL are the two dominant approaches to API design. REST uses multiple endpoints with fixed data structures; GraphQL uses a single endpoint with flexible queries.
Read comparison → // DatabasesPostgreSQL vs MySQL
PostgreSQL and MySQL are the two most popular open-source relational databases. PostgreSQL leads in features and data integrity; MySQL in simplicity and read performance.
Read comparison → // DevOpsDocker vs Kubernetes
Docker creates and runs containers. Kubernetes orchestrates them at scale. They're complementary tools, not competitors - understanding when you need each is key.
Read comparison → // DatabasesRedis vs Memcached
Both Redis and Memcached are in-memory key-value stores used for caching. Redis offers richer data structures and features; Memcached is simpler and uses less memory per key.
Read comparison → // Python LibrariesSQLAlchemy vs Django ORM
SQLAlchemy offers maximum flexibility with both ORM and SQL expression layers. Django ORM trades some power for simplicity and tight Django integration. The right choice depends on your framework and query complexity.
Read comparison → // Python ArchitectureASGI vs WSGI
WSGI served Python web development for 20 years. ASGI is its async successor, enabling WebSockets, long-lived connections, and concurrent I/O handling.
Read comparison → // Python LibrariesPydantic vs Marshmallow
Pydantic uses Python type hints for validation with automatic coercion. Marshmallow uses explicit field definitions with a schema-based approach. Both validate data, but their philosophies differ significantly.
Read comparison →Need expert backend development?
I build scalable Python APIs and backend systems. Let's discuss your project.
Get in Touch