I've been studying OLAP databases recently and put together a comparison between Doris and ClickHouse.
Architectural Differences
ClickHouse: - Pure columnar storage with a powerful MergeTree engine - Exceptional performance for single-table aggregations - Weaker JOIN capabilities - Open-sourced by Yandex (Russia)
Doris: - MPP + columnar storage architecture - Better standard SQL compatibility - Stronger JOIN capabilities - Open-sourced by Baidu with an active domestic community
Performance Comparison
- Single-table aggregation: ClickHouse is slightly faster
- Multi-table JOIN: Doris is stronger
- High-concurrency queries: Doris's Unique Key model has an advantage
- Data updates: Doris natively supports Upsert
Learning Recommendations
Both are excellent OLAP engines. If you're getting started with data analysis, Doris offers better SQL compatibility and a gentler learning curve. If you're doing pure log analysis, ClickHouse delivers superior single-table performance.
Choose based on your business use case, or learn both to understand their architectural design philosophies.
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