SQLite Benchmark Compares Five Tagging Strategies
On March 20, 2026, a micro-benchmark compared five tagging strategies in SQLite on a dataset of 100,000 rows with 100 tags and an average 6.5 tags per row. Indexed approaches—materialized JSON lookup tables and classic many-to-many tables—outperformed others, serving single-tag queries in under 1.5 milliseconds; raw JSON with json_each() and LIKE-based full scans were much slower. Results guide developers choosing trade-offs between query speed, storage, and implementation complexity.
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Provides practical, directly usable benchmark results; limited by single-source micro-benchmark and sparse methodological detail reporting.
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