The main areas of difference between a data warehouse and a security data lake are purpose, data handling and architecture. Data warehouses are designed for structured historical data to support business intelligence and decision-making processes, whereas security data lakes are optimized for handling vast amounts of raw, diverse security-related data for advanced analytics, threat detection and incident response. Security data lakes also provide the benefit that the data stored there can be structured, unstructured and semi-structured, all available on tap for quick and easy access.