While both data warehouses and lakes are big data storage solutions, they are useful in distinctly different situations. Data warehouses store structured data that can be accessed and interpreted by anyone with permission to do so, whereas a data lake is an unstructured storage space for large quantities of raw data. Data lakes store big data in its raw form, with minimal structure and few controls over what data is included or excluded from the storage space.