Expert PostgreSQL tutorials, tips, and performance optimization guides. Learn database administration, query optimization, and best practices for PostgreSQL 18 and beyond.
Remember when building an AI app meant stitching together five different databases? A relational database for your core data, Pinecone for vectors, Elasticsearch for search, Redis for caching, and maybe InfluxDB if you had time-series needs. Each one with its own query language, backup strategy, and 3 a.m. pager duty incident. That era is over. […]
Table bloat is one of PostgreSQL’s most persistent operational challenges. It’s a natural byproduct of how PostgreSQL handles updates and deletes — old row versions (dead tuples) pile up inside heap files, wasting storage, degrading index efficiency, and slowing down queries. Left unchecked, bloat can double or triple the physical size of your busiest tables. […]
PostgreSQL 18, released in late 2025, has introduced several game-changing performance features that are fundamentally altering how we design and scale database-driven applications. Among these, the arrival of native Asynchronous I/O (AIO) and first-class UUIDv7 support stand out as the most impactful for modern, high-concurrency workloads. 1. The AIO Revolution: Eliminating I/O Wait For decades, […]
As the AI landscape evolves in 2026, the question is no longer if you should use a vector database, but where your vectors should live. For many, the answer is increasingly PostgreSQL. With the combination of pgvector for core functionality and pgvectorscale for massive-scale performance, PostgreSQL has transformed from a relational workhorse into a high-performance […]
PostgreSQL continues to dominate the database landscape heading into spring 2026. With the release of PostgreSQL 18, a surge in AI-driven development, and key community discussions at PGConf.dev, there are three topics that every PostgreSQL developer and DBA should be focused on right now. Here’s what’s trending this month and why it matters for your […]
