
Data lakes and data warehouses have emerged as critical components of modern data management strategies. These storage solutions, while both designed to store and manage data, differ significantly in terms of structure, cost, processing methodologies, and use cases. This article provides an in-depth comparative analysis of data lakes and data warehouses, highlighting their unique characteristics, benefits, challenges, and practical applications.