The primary advantage of using data lakes over traditional data warehouses is their ability to store vast amounts of raw, unstructured data in various formats. Data lakes allow organizations to ingest and analyze data without the need for prior structuring, facilitating big data analytics and diverse data use cases. This flexibility supports data exploration and quicker insights, unlike warehouses, which require predefined schemas.