Today, we are living in a time where we need to manage vast amounts of data. In today's data management world, the growing concepts of data warehouse and data lake have often been a major part of the discussions. In this article, we discuss the pros and cons of each concept. Undeniably, both serve as the repository for storing data, but there are fundamental differences in capabilities, purposes, and architecture.
We will mainly discuss the 10 major differences between data lakes and data warehouses to make the best choice. This will help identify which one is best for your business.