DuckDB Full-Text Search vs PostgreSQL FTS vs Meilisearch: 100 Million Document Index — Build Time, Query Latency, Memory

1. 1Build a 100 million document index using DuckDB full-text search.
2. 2Compare the build time of DuckDB with PostgreSQL FTS and Meilisearch.
3. 3Measure and compare the query latency of each solution.
4. 4Evaluate the memory usage of each solution.
5. 5Choose the most suitable solution based on performance metrics.

Developers and data engineers working with large datasets can benefit from this comparison to choose the most suitable full-text search solution for their projects.

💡 DuckDB, PostgreSQL, and Meilisearch have different performance characteristics for full-text search, and the choice of solution depends on specific project requirements.

💡 Compare DuckDB, PostgreSQL, and Meilisearch for full-text search performance on 100M docs! 📊