Copy-on-Write B‑Trees provide an elegant mechanism for fast, consistent snapshots, cutting write amplification and lock contention. This post explains the data structure, its snapshot workflow, and real‑world performance gains.

LSM trees dramatically reduce write amplification and improve throughput on write‑intensive workloads, making them the engine of choice for modern databases.

Learn how copy‑on‑write B‑trees work, why they make snapshots cheap, and what trade‑offs you should weigh when choosing this storage engine.

A deep dive into WAL design strategies that achieve zero data loss, with practical patterns and validation steps for modern databases.

A deep dive into the memory management trade‑offs between B‑Trees and LSM Trees, with practical guidance for database developers.