SQL Server Performance & Troubleshooting – Where Milliseconds Matter 🚀

Hi guys, I’m back again! 👋 In the previous articles we compared Filtered Indexes and Indexed Views , understanding when each one shines. If you missed Part 2, you can read it here: 👉 Filtered Index vs Indexed View – Complete Performance Comparison Today we add a new player to the game. Because when data volume starts growing… when millions of rows become tens or hundreds of millions… we gain a powerful new ally: Columnstore Indexes. And this changes everything. When Rowstore Is Not Enough Until now, we worked with traditional rowstore structures: Filtered Index → reduce I/O for selective predicates Indexed View → precompute aggregations Both are extremely powerful in OLTP scenarios. But when datasets increase significantly, row-by-row processing becomes the bottleneck. This is where Columnstore comes in. What Makes Columnstore Different? Traditional indexes store data row by row (B-Tree structure). Columnstore: Stores data by ...

Filtered Index vs Indexed View in SQL Server: Complete Performance Comparison with Real Examples Hi Guys, I am back! This article is the continuation of the previous deep dive on SQL Server performance tuning! If you missed Part 1, you can read it here: SQL Server Performance Tuning – How Filtered Indexes Drastically Improve Query Performance In the first article, we analyzed how Filtered Indexes can drastically reduce logical reads and optimize execution plans. Today we go deeper and compare Filtered Index vs Indexed View using practical, reproducible SQL scripts. You will find concrete scenarios that you can test in your own lab — because performance tuning is not theory, it’s experimentation. Enjoy the reading! Understanding the Core Difference Filtered Index Indexes only a subset of rows using a WHERE clause Does not pre-aggregate data Low maintenance overhead Ideal for selective filtering scenarios Indexed View Physically materializes query resu...