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How We Query 1.2 Billion Rows in Under 50ms — Partitioning, Columnstore, and Read Models at Scale
Published on August 6, 2026By DEV Community
Every dashboard load ran a SUM and a COUNT over a 1.2-billion-row table, and each one took just over two seconds. At 110,000 monthly active users hammering those dashboards, our Azure SQL sat at 78% CPU and every campaign view felt like wading through mud. The fix wasn't a bigger database tier. It was realizing that you never make a billion-row aggregate fast — you make sure you never run it. This is the data-architecture story behind one of the numbers we're proudest of on Mattrx, our multi-ten
Read the full article: https://dev.to/kirandeepjassalcrypto/how-we-query-12-billion-rows-in-under-50ms-partitioning-columnstore-and-read-models-at-scale-44jk
Source: DEV Community