Postgres isn't slow, your storage is

In a recent talk recap from ClickHouse, the discussion centers on the common misconception that PostgreSQL performance issues are inherent to the database engine itself. Instead, the analysis suggests that storage bottlenecks are frequently the primary culprit behind slow query performance. The article explores how modern storage architectures and I/O limitations often constrain database throughput, regardless of how well-optimized the SQL queries might be. By examining the relationship between storage latency and database efficiency, the piece highlights the importance of infrastructure choices in high-performance environments. It emphasizes that developers should look beyond query tuning and consider the underlying storage stack when diagnosing performance degradation. The insights provided aim to help engineers better understand how to optimize their database deployments by addressing hardware-level constraints, ultimately leading to more scalable and responsive data systems.