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 […]
Neon’s PostgreSQL Tutorial is one of the cleanest step-by-step guides for learning SQL on Postgres, especially if you’re coming from another stack. It walks you from the very first SELECT through joins, set operations, subqueries, and table management, with concise examples you can run against a sample database. In this post, I’ll give you a […]
As a database consultant who has spent years optimizing PostgreSQL implementations for businesses of all sizes, I’m frequently asked about query techniques that can transform complex database operations into maintainable, performant code. Common Table Expressions (CTEs) stand out as one of PostgreSQL’s most powerful features—and they’re often underutilized by developers who could benefit tremendously from […]
PostgreSQL 18, released in September 2025, brings transformative improvements that database administrators and developers need to understand. With the next major release (PostgreSQL 19) already on the roadmap for September 2026, now is the perfect time to explore what PostgreSQL 18 offers and why it matters for your production systems. Virtual Generated Columns: A Storage […]
Metropolitan Statistical Areas (MSAs) are critical geographic designations used by the U.S. Census Bureau to define urban regions for economic and demographic analysis. If you’re working with location-based data in PostgreSQL, PostGIS provides powerful tools for storing, querying, and analyzing MSA boundaries and associated data. In this guide, I’ll show you how to effectively work […]
If you’re a MySQL developer looking to expand your database skills, PostgreSQL is a natural next step. While both are powerful relational database management systems (RDBMS), PostgreSQL offers advanced features that can take your database expertise to the next level. In this guide, I’ll help you leverage your MySQL knowledge to quickly get up to […]
