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In the realm of data-driven decision-making, the choice of the right analytical database is paramount. Two prominent players in this arena, Greenplum and Apache Doris, offer impressive capabilities with their Massively Parallel Processing (MPP) architectures. While both cater to analytical workloads, they diverge in crucial aspects like architecture, performance, and manageability. This article aims to dissect these differences, aiding data professionals in selecting the optimal solution for their unique requirements.
1. Overview and Architecture
#### Greenplum
Greenplum, rooted in PostgreSQL, emerges as an open-source distributed relational database. Its MPP design targets extensive data analytics, comprising three core components.