With the explosive growth of data, the demand for real-time analytics across industries is more urgent than ever. High-performance data warehouses are the backbone of real-time analysis, enabling enterprises to quickly gain insights and drive decision-making. Among many open-source solutions, Apache Doris and ClickHouse stand out as two of the most noteworthy contenders. This article provides an in-depth comparison between Apache Doris and ClickHouse, aiming to offer valuable insights for technical professionals and decision-makers when selecting real-time analytics solutions.
Apache Doris
Apache Doris is a modern open-source data warehouse based on a massively parallel processing (MPP) architecture, renowned for its exceptionally high query performance. Designed to provide sub-second query responses, Doris can effortlessly handle both high-concurrency point queries and complex, high-throughput analytical workloads. Its architecture consists of two main components: the Frontend (FE) and the Backend (BE). The FE handles user requests, query parsing, metadata management, and node management, while the BE is responsible for data storage and query execution—with data partitioned and stored in multiple replicas across different nodes. This design supports horizontal scaling, allowing a single Doris cluster to manage hundreds of machines and petabytes of data, all while supporting compute-storage separation for elastic scaling and efficient resource utilization.