What are the potential difficulties and limitations when using Django in the development of large or complex projects?

When using Django in large or complex projects, the following difficulties and limitations may arise:

• Scalability: Django is initially designed for quick startup and convenience, but with a very large number of users and requests, additional optimization and load distribution may be required.

• Monolithic architecture: Django by default offers a monolithic approach, which can make it difficult to split the project into microservices or modules when the codebase is very large.

• ORM limitations: Django ORM is convenient, but for complex queries or specific optimizations, it may be less flexible than direct SQL or other ORMs.

• Flexibility: In some cases, Django's built-in mechanisms (such as routing system, templates) may limit architectural freedom.

• Dependence on synchronicity: Although Django is evolving towards asynchronous capabilities, many parts are still synchronous, which can be a limitation for high-load asynchronous systems.

• State management: Managing session state, caching, and database migrations becomes more complex in large projects.

To overcome these limitations, the following are often used:

• Splitting the project into multiple applications.
• Using external services and microservices.
• Optimizing queries and caching.
• Integrating with asynchronous frameworks or libraries.