Which is better for analytics: lakehouse or warehouse?

[charlesjone]

One popular comparison when designing a modern analytics platform is data lakehouse vs data warehouse. A warehouse is typically easier to be structured, governed and have predictable workloads for business intelligence. A lakehouse is a hybrid of some of the capabilities of a warehouse along with the flexibility of storage for various data types which can be useful for analytics, data science, and machine learning. The best option will be based on the amount of data to be handled, the skill level of the team, the governance requirements, and the current system's capabilities. For those who don't have a deep understanding of architecture, Datalance can be useful for assessing data strategy without having to complicate things.