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Difference between a data warehouse and a data lake

Data Lakes and Data Warehouses are alike but not the same.

So what exactly is the difference?


1 Answer

Data warehouses and data lakes both are used all over the world. They are used to store big data. So they are alike but not the same. Data warehouses are repositories for filtered and structured data that already is processed for specific purposes. Data lakes are vast pools of raw data, for which the purpose is yet undefined.

These two types of storage of data are very often confused, even by professionals. They are more different than they are the same. They share their function of storing data.

The difference between the two data concepts and their principles is important because they serve a different purpose (they solve a different problem). For one company a data lake is a better fit, for another company, a data warehouse is a better fit.

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