Functional programming is generally better suited for distributed data processing with PySpark on Databricks due to its emphasis on immutability, stateless operations, and higher-order functions. These features align well with Spark's execution model and make it easier to write scalable and maintainable code. While OOP can be used, it introduces additional complexity and challenges that are better avoided in a distributed environment.

https://docs.databricks.com/en/pyspark/index.html