As organizations increasingly rely on data for real-time decision-making, the demand for scalable, high-performance analytical databases has never been higher. Among the contenders in the modern analytics space, Greenplum and Apache Doris stand out for their MPP (Massively Parallel Processing) architectures and ability to handle large-scale data workloads. While both are designed for analytics, they differ significantly in architecture, performance, and ease of management. This article provides a side-by-side comparison to help data teams evaluate which solution better aligns with their technical and business needs.
1. Overview and Architecture
Greenplum
Greenplum is an open-source distributed relational database based on PostgreSQL. It adopts an MPP (Massively Parallel Processing) architecture, designed specifically for large-scale data analytics. Its architecture consists of three main components: