2. Disadvantage

Customizing Django’s built-in components (like the admin interface or authentication system) can sometimes be more complicated than expected, requiring additional effort and understanding of the framework.

While middleware can enhance functionality, managing multiple middleware components can become complex, leading to potential performance bottlenecks or conflicts.

For small projects or simple applications, Django can be overkill, leading to unnecessary complexity and longer development times compared to lightweight frameworks.

Django applications can consume more memory and resources than lighter frameworks, which might be a concern for smaller projects or applications with limited hosting resources.

While Django can be integrated with NoSQL databases through third-party packages, its primary focus is on relational databases, which may limit flexibility for certain applications.

Setting up a Django project, especially with custom configurations or multiple apps, can take more time compared to lightweight frameworks.

Django’s traditional request-response cycle can be less ideal for real-time applications (like chat apps or live notifications) compared to frameworks specifically designed for that purpose.

Django is built on Python, which means performance can be a concern for applications with extremely high throughput requirements compared to frameworks in languages like Go or Java.

While Django provides a migration system, managing complex database migrations can become cumbersome, especially for large applications with frequent changes.

While Django’s template engine is easy to use, it lacks some advanced features found in other templating engines, such as full programming logic, which can lead to limitations in complex UI designs.