Companies generate data at an exponential rate, and the task of analyzing data to produce relevant security insights can be overwhelming. With evolving market dynamics and threat landscapes, security teams have a greater need for integrated and scalable monitoring that provides real-time and meaningful insights into the state of organizational security posture.

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.