19/01/2026
When SQL Server professionals start working seriously with PostgreSQL, most of the learning curve feels comfortable. Tables behave as expected, transactions are familiar, and B-tree indexes look reassuringly similar to what you have used for years in SQL Server. Then you encounter BRIN indexes.
At first glance, they seem almost reckless: no row pointers, no precise navigation, and an explicit acceptance of false positives. And yet, on very large tables, BRIN indexes often deliver performance gains that would require clustered indexes, partitioning, or even columnstore indexes in SQL Server. To understand why, we need to look not only at what BRIN does, but how it works internally.
👉 Read more: https://www.sqlpassion.at/archive/2026/01/19/brin-indexes-in-postgresql/
When SQL Server professionals start working seriously with PostgreSQL, most of the learning curve feels comfortable. Tables behave as expected, transactions are familiar, and B-tree indexes look reassuringly similar to what you have used for years in SQL Server. Then you encounter BRIN indexes.