Diagram of a B-tree node split with copy‑on‑write pointers.

Implementing Copy-on-Write B-Trees for Database Snapshots: Architecture, Consistency, and Production Patterns

A deep dive into implementing copy‑on‑write B‑trees for snapshotting databases, covering architecture, consistency guarantees, and proven production patterns.

June 2, 2026 · 6 min · 1179 words · martinuke0
Illustration of a B‑Tree node being duplicated on an SSD.

Why Copy-on-Write B-Trees Fragment Your SSD Storage

Copy‑on‑Write B‑Trees improve database performance but introduce write‑amplification that fragments SSDs; this post explains the mechanics and mitigation strategies.

May 16, 2026 · 7 min · 1314 words · martinuke0
Diagram of a B-Tree node being duplicated on write.

Why Copy on Write B-Trees Improve Database Concurrency

Copy‑on‑write B‑trees enable high‑concurrency database operations by allowing readers to see a stable snapshot while writers modify a new version of the tree. The article explains the underlying mechanics, performance benefits, and practical implementation tips.

May 15, 2026 · 8 min · 1524 words · martinuke0
Illustration of a B‑tree node being duplicated on write.

How Copy-on-Write B-Trees Enable Instant Database Snapshots

A deep dive into the mechanics of copy‑on‑write B‑trees and why they power instant snapshot features in today’s high‑performance databases.

May 14, 2026 · 6 min · 1248 words · martinuke0
Illustration of a B‑Tree node being duplicated for a snapshot.

Why Copy-on-Write B-Trees Enable Faster Database Snapshots

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.

May 14, 2026 · 7 min · 1471 words · martinuke0
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