Databricks Machine Learning enforces the use of a proprietary programming language, limiting flexibility but ensuring high performance and scalability through cloud-native technologies.

Databricks Machine Learning supports the use of popular open-source tools and languages like Python, R, and MLflow, facilitating a collaborative environment. It excels in performance and scalability for big data processing by leveraging optimized, distributed computing capabilities.

Databricks Machine Learning is restricted to Databricks-specific APIs, offering enhanced performance and scalability but at the cost of flexibility and integration with open-source libraries.

Databricks Machine Learning is suitable only for small datasets, requiring integration with external platforms for large-scale data processing and model training.