Many enterprises are transitioning from traditional proprietary data warehouse platforms, such as Teradata and Snowflake, due to issues like vendor lock-in, unpredictable pricing, and limited flexibility. EDB Postgres® AI (EDB PG AI) offers WarehousePG, an open-source, petabyte-scale data warehouse built on Postgres, designed to provide control, predictability, and data sovereignty while maintaining performance. WarehousePG utilizes a massively parallel processing (MPP) architecture, allowing it to efficiently execute complex queries across large datasets. It offers predictable performance without proprietary constraints, enabling organizations to avoid vendor-controlled execution engines. WarehousePG supports hybrid storage and SQL access to external data lakes through the Platform Extension Framework (PXF), simplifying ETL processes. It includes FlowServer for real-time data ingestion and supports in-database AI and machine learning, allowing for advanced analytics without transferring data outside the warehouse. The platform is engineered for high availability and enterprise readiness, with features like workload management and observability. Migration from legacy platforms is facilitated through a low-risk modernization pathway. Overall, WarehousePG provides a modern alternative to traditional data warehouses, emphasizing architectural control and open-source economics.