Benerator efficiently processes large datasets, offering customizable templates and settings while integrating seamlessly with various data sources. It provides robust data anonymization features and ensures compliance with data protection regulations. However, it has a steep learning curve due to lack of comprehensive documentation, occasional performance lags, compatibility issues with certain data formats, and frequent updates causing stability problems, coupled with limited customer support availability.