Why DuckDB Beats ClickHouse for Light‑Weight Analytics: 18 M Rows/sec in a Single Go Binary
The article analyzes why traditional row‑oriented databases struggle with high‑volume analytics, introduces DuckDB as an embedded columnar engine for Go, presents benchmark results of up to 18.6 M rows per second writes and 6 M rows per second scans, walks through the Appender API code, and outlines the trade‑offs and ideal hybrid architecture.
