Boosting PostgreSQL Query Performance with Materialized Views

Introduction In today's corporate systems, traceability is guaranteed by the detailed recording of all operations in audit logs. However, as this data increases exponentially—especially when stored in flexible formats like PostgreSQL's JSONB—the performance of analytical queries can be significantly compromised. This article discusses the technical viability of Materialized Views as a solution to overcome this performance issue. The main objective of this experiment is to demonstrate, in a clear and controlled manner, how replacing real-time processing with a pre-calculation architecture can drastically reduce dashboard latency. This approach enables a more efficient analysis of large volumes of data. The Cost of Parsing vs. The Power of Snapshots To substantiate our optimization strategy, it is important to understand how unstructured data storage (JSONB) affects database performance, as well as the structural differences between the visualization mechanisms available in PostgreSQL. A