Hi @Sas ,
One of the benefits of the Data Lakehouse architecture, is that it combines the best of both Data Warehouses and Data Lakes all on one unified platform to help you reduce costs and deliver on your data and AI initiatives faster. It brings the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.
Depending on your use case, leveraging the Databricks platform can definitely improve the performance of your workloads. If you'd like to learn more, Id recommend exploring our page here: https://www.databricks.com/product/data-lakehouse. It provides information and links that dive deeper into different areas of the Data Lakehouse architecture and how it can be used with different types of workloads. As well as, a couple customer stories like Walgreens and T-Mobile and their journeys with Databricks.
Best,
Miguel