A data lakehouse is a modern form of data architecture that combines the features of a data lake and a data warehouse. It is designed to store massive amounts of raw data (like a data lake) while also providing structured queries that allow an organization to make data-driven decisions (like a data warehouse).
A data lakehouse can store both structured and unstructured data, making it similar to a data lake. However, unlike a data lake, a data lakehouse supports advanced analytics directly in the storage system. Some data lakehouses even allow for real-time data processing, which allows organizations to quickly be informed about what is happening and the best courses of action to take on it. A well-implemented data warehouse can also be hugely cost-effective for an organization. It is designed to be a one-stop solution for data storage and analytics, reducing the need for multiple data platforms. Data lakehouses are extremely flexible and scalable, being able to handle small amounts of data from one source or large amounts of data from multiple sources. They are a hugely flexible and cost-effective solution for managing large datasets.