Audience
Data warehouse administrators, data engineers, and business intelligence and analytics teams managing large-scale analytical workloads.
About WarehousePG
WarehousePG is an open-source, massively parallel processing (MPP) database for large-scale data warehousing, business intelligence, and analytics. Based on PostgreSQL, it distributes data and query work across clusters of coordinator and segment servers. SQL users can connect through PostgreSQL-compatible clients and interfaces, including psql, JDBC, ODBC, and libpq. Capabilities include append-optimized row- or column-oriented storage, table partitioning, parallel data loading through external tables, workload and resource management, query planning with GPORCA, and high availability through coordinator and segment mirroring. The Platform Extension Framework (PXF) lets WarehousePG query and write external data in sources such as Hadoop, object stores, and JDBC-accessible SQL databases. It supports analytical warehouse and BI workloads, with cluster deployments on Linux in on-premises or cloud infrastructure.