Data lakes and data warehouses are two distinct approaches to data storage. Data lakes are much more flexible, allowing for the raw storage of different types of data without the need for predefined schema. Whereas a data warehouse is a structured, relational database that stores structured and processed data. It follows a predefined schema and enforces data normalization and standardization. Data warehouses are optimized for efficient querying, reporting, and analytics, typically using SQL-based tools.