Data lakes and data warehouses both help you effectively collect and store big data. But while the two terms sound similar, they have several differences. A data lake is a collection of raw, unorganized data. A data warehouse collects, stores, and filters processed data for easy analysis.

These two terms are often used interchangeably, but have many differences and uses that can help you maximize your marketing campaigns with data.

That's why we'll dive into the key differences between a data lake vs. data warehouse on this page.