In today’s complex data landscape, Data Lakehouses offer a transformative solution by uniting the strengths of traditional data warehouses and data lakes into a single, efficient platform. By integrating structured and unstructured data with support for ACID transactions, real-time processing, and unified governance, Data Lakehouses address the limitations of their predecessors and simplify data management. This article explores the definition, importance, and key features of Data Lakehouses, highlights how they differ from data warehouses and lakes, and provides guidance on migration strategies. It also reviews major technology providers and open-source solutions, discusses challenges and best practices for migration, and encourages organizations to evaluate whether a Data Lakehouse aligns with their data needs and future goals.