What are some common challenges faced when integrating Neo4j with Python applications?

Integrating Neo4j with Python applications often involves challenges such as efficiently handling large graph datasets, ensuring optimal query performance, and managing connections between the Python backend and the Neo4j database. Developers may also need to familiarize themselves with Cypher (Neo4j’s query language) and the nuances of the official Neo4j Python driver. Collaborating with data engineers and backend teams is common to design scalable data models and optimize data flows, making strong communication and problem-solving skills essential for success in this role.