ETL processes can be complex and come with several challenges. These include handling large volumes of data, ensuring data quality, maintaining data security, and dealing with the heterogeneity of data sources. Moreover, real-time data integration adds an extra layer of complexity, requiring advanced ETL tools and architectures.