Why Database Row-Level Security Hurts Query Performance

Row-level security (RLS) is a powerful feature for multi-tenant databases, but it comes with a hidden cost: query performance can degrade significantly if not implemented carefully. In this episode, Lucas and Luna explore how RLS policies interact with query planners, indexing strategies, and connection pooling, using a real-world example of a SaaS platform that saw query latency spike by 300% after enabling RLS. They discuss why predicate pushdown fails, how to design policies that leverage partial indexes, and when to move security logic to the application layer instead. For any engineer dealing with multi-tenant architectures, this is a must-listen on balancing security with speed. #RowLevelSecurity #QueryPerformance #DatabaseSecurity #MultiTenant #PostgreSQL #PredicatePushdown #PartialIndex #QueryPlanner #ConnectionPooling #SaaS #DatabaseOptimization #TechPodcast #Technology #FexingoBusiness #BusinessPodcast #DatabaseDesign #SecurityVsPerformance #DataEngineering Keep every episode free: buymeacoffee.com/fexingo