Enterprise Data Warehouse vs Data Lakehouse Architecture
Table of Contents
The Evolution from Warehouses to Open Lakehouse Platforms
Traditional Enterprise Data Warehouses excel at structured BI SQL queries but struggle with un-structured data (video, audio, JSON logs) required for AI/ML models. Data Lakehouses combine the low-cost storage of data lakes with the ACID transaction reliability of data warehouses.
Technical Differences: Warehouses vs Lakehouses
Data Warehouses lock data into proprietary storage formats. Data Lakehouses use open table formats (Delta Lake, Apache Iceberg, Apache Hudi) built directly on cloud object storage (AWS S3 / Azure Data Lake), enabling both BI dashboards and ML model training on a single data copy.
Selecting the Right Data Architecture Strategy
Organizations focused purely on financial reporting and SQL dashboards thrive on cloud data warehouses. Enterprises building machine learning pipelines, real-time IoT streaming, and AI RAG applications achieve superior agility with a Data Lakehouse.