Expert PostgreSQL tutorials, tips, and performance optimization guides. Learn database administration, query optimization, and best practices for PostgreSQL 18 and beyond.
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 […]
When you’re deep in the trenches of database work—optimizing queries, debugging replication lag, or untangling JSON transforms—the quality of your tools matters. PostgreSQL has always been powerful, but the community has been laser-focused on something equally important: making that power accessible. Developer ergonomics—how smoothly you can understand, debug, and deploy database logic—is front and center […]
PostgreSQL heads into 2026 with more momentum than it has had in years, driven by PostgreSQL 18’s async I/O, a rapidly maturing AI/vector story, and continued pressure to make Postgres cheaper to run in the cloud. For teams already standardized on Postgres, the next 12–18 months look less like “incremental tuning” and more like a […]
Retrieval-Augmented Generation (RAG) has become one of the most practical applications of AI in production systems, and PostgreSQL’s pgvector extension has emerged as a robust solution for implementing vector search. However, getting optimal results requires more than just installing pgvector and throwing embeddings at it. Let’s explore proven best practices and real-world examples to help […]
pgvector is a PostgreSQL extension that adds a native vector data type and similarity search so you can turn Postgres into a capable “vector DB” without adding new infrastructure. For many workloads—especially RAG over modest corpora, recommendations tied tightly to transactional data, and anomaly detection in existing Postgres-backed systems—pgvector is often simpler and cheaper than […]
You’ve got PostGISqueries up and running—now what? If you completed the 15-minute quickstart, you’ve seen the basics: creating spatial tables, inserting points, and running simple distance queries. But PostGIS offers so much more. In this follow-up guide, I’ll show you five immediately useful PostGIS techniques that go beyond simple point queries. These are practical patterns […]
If you’ve ever wanted to add spatial capabilities to your PostgreSQL database but weren’t sure where to start, this guide is for you. In just 15 minutes, you’ll go from enabling the PostGIS extension to visualizing your first geographic data on a map. What is PostGIS? PostGIS is a powerful open-source extension that transforms PostgreSQL […]
