In the realm of big data, Hive has long been a cornerstone for massive data warehousing and offline processing, while Apache Doris shines in real-time analytics and ad-hoc query scenarios with its robust OLAP capabilities. When enterprises aim to combine Hive’s storage prowess with Doris’s analytical agility, the challenge lies in efficiently and reliably syncing data between these two systems.
This article provides a comprehensive guide to Hive-to-Doris data synchronization, covering use cases, technical solutions, model design, and performance optimization.