This article introduces Apache Doris’s data lake federation capabilities, detailing its lake‑warehouse integration design, supported data sources such as Hive, Iceberg, Hudi, and Elasticsearch, performance optimizations for metadata and file access, case studies, community roadmap, and Q&A on replacing Presto.
This article introduces the UData platform, explains its data‑integration architecture, details the StarRocks‑based query engine workflow from SQL parsing to distributed execution, and describes recent optimizations such as computation push‑down, support for JSF/HTTP/ClickHouse external tables, and a proxy‑based federated query framework.
This article outlines how 360’s data center built QuickSQL, a federated SQL engine that unifies queries across heterogeneous sources such as Hive, MySQL, and Elasticsearch, detailing the business challenges, architectural design, performance benchmarks, and future roadmap for multi‑source data analysis.
The article presents 360’s challenges with heterogeneous, high‑volume data sources, explains the design of a unified federated SQL engine called QuickSQL that leverages Apache Calcite, Spark, Flink and other back‑ends, and evaluates its performance and future development directions.
