Data lakes differ from traditional databases primarily in their storage structure and data types. While traditional databases are optimized for structured data and require a predefined schema, data lakes can store vast volumes of both structured and unstructured data without a specific schema. This flexibility allows organizations to collect and analyze diverse data types, including text, images, and sensor data. Additionally, data lakes support big data analytics and machine learning initiatives, providing a more comprehensive view of organizational data.