Data Lake vs. Data Warehouse

On the surface, they may seem similar. Both are repositories that store data for use in data science and analytics. Both house data that can inform all your business analysis and reporting. And in recent years, both lakes and warehouses have moved to the cloud to accommodate the massive influx of data, the increasing demand for speed, and the need to extend insights to as many users as possible.

But data lakes and data warehouses are not the same, and there are important differences to be aware of as you evaluate your organization’s needs.

This eBook looks at the differences between data lakes and data warehouses, the six key benefits of each, the top vendors offering them, and options for optimizing your experience with both.