Performance

An in‑depth look at why copy‑on‑write B‑trees beat traditional in‑place updates, covering algorithmic details, performance metrics, and practical deployment tips.

This article explains how copy‑on‑write (COW) B‑trees work, why they improve concurrency, and what trade‑offs they introduce for modern database engines.

Copy‑on‑write B‑trees let databases take point‑in‑time snapshots instantly, without blocking writes. This post explains the mechanics, trade‑offs, and real‑world implementations.

Copy‑on‑write avoids costly memory allocation by sharing data until a write occurs, dramatically improving throughput in many systems.

Copy‑on‑write lets the kernel clone a process without copying its memory pages, deferring duplication until a write occurs, which dramatically speeds up fork.