A LinkedIn post from ClickHouse discusses performance constraints in PostgreSQL deployments, emphasizing that storage latency rather than the database itself often drives slow ingestion and unpredictable reads. The post references internal testing that suggests local NVMe can deliver 9.2× the throughput of baseline gp3 EBS, raising performance ceilings for transactional workloads.
The post further notes that faster disks do not remove the need for distinct storage engines for transactional and analytical workloads, highlighting an architecture that pairs PostgreSQL with ClickHouse for real-time analytics. According to the post, this approach, explored with Moniepoint Group’s engineering team, positions ClickHouse as a complementary analytics layer, which may enhance its appeal in mixed OLTP/OLAP environments and support adoption-driven growth.