Top 9 PostgreSQL Extensions Used by Tiger Data Customers in 2026
Blog post from Tiger Data
PostgreSQL, renowned for its versatility, supports an extensive range of extensions that enhance its functionality without requiring users to switch databases. These extensions, categorized into pre-installed essentials and user-installed power tools, allow users to leverage features like time-series data management, vector similarity searches, geospatial analysis, and encryption. Pre-installed extensions include TimescaleDB for time-series data, PL/pgSQL for stored procedures, pg_stat_statements for performance tracking, pgcrypto for encryption, and file_fdw for reading files as tables. User-installed extensions, driven by specific workloads, include pgvector and pgvectorscale for scalable vector searches, pgai for integrating AI directly into the database, and PostGIS for advanced geospatial capabilities. This comprehensive ecosystem, as used by Tiger Data customers in 2026, enables the building of robust, AI-powered applications with optimized performance and enhanced security, showcasing PostgreSQL's evolution into a platform beyond a mere database.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 32 | 1,668 | 286 | 111 | +15% |
| LLM | 2 | 3,836 | 662 | 193 | +2% |
| RAG | 1 | 849 | 194 | 70 | -7% |
| Real-time | 1 | 4,546 | 943 | 215 | -38% |
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