ClickHouse ® vs OrioleDB: Can Postgres extensions keep up?

Developers often compare ClickHouse®, a purpose-built OLAP database, with OrioleDB, a PostgreSQL extension, when seeking fast analytical queries, as each system has distinct architectural features impacting performance, operational complexity, and scalability. ClickHouse® excels in high-speed analytical queries by using columnar storage and vectorized execution, offering significant speed advantages for large datasets, whereas OrioleDB enhances PostgreSQL performance by reorganizing its storage layer to reduce bloat and improve updates without changing the row-based execution model. While ClickHouse® is optimized for CPU-bound queries, massive data ingestion, and high-concurrency analytics, OrioleDB is better suited for mixed workloads, particularly in environments already leveraging PostgreSQL-specific features like PostGIS. ClickHouse® offers efficient data compression and sharding capabilities, making it ideal for time-series analytics and data warehousing, whereas OrioleDB provides a smoother transition for existing PostgreSQL applications needing better update performance. Despite OrioleDB's improvements, ClickHouse® remains a preferred choice for real-time, large-scale analytical use cases, and some teams use both systems together, managing transactional data in PostgreSQL and analytics in ClickHouse®.