Navigation of articles about PostgreSQL development, administration, principles, ecosystem, tools, architecture design, performance optimization, troubleshooting, and more.
The same forces that once led MongoDB and MySQL toward closure are now at work in the PostgreSQL ecosystem. The PG world needs a distribution that represents “software freedom” values.
The 2025 SO global developer survey results are fresh out, and PostgreSQL has become the most popular, most loved, and most wanted database for the third consecutive year. Nothing can stop PostgreSQL from consolidating the entire database world!
The database for the AI era has been settled. Capital markets are making intensive moves on PostgreSQL targets, with PG having become the default database for the AI era.
At PGConf.Dev 2025, Bohan Zhang from OpenAI shared a session titled Scaling Postgres to the next level at OpenAI, giving us a peek into the database usage of a top-tier unicorn.
The annual PostgreSQL developer conference will be held in Montreal in May. Like the first PG Con.Dev, there’s also an additional dedicated event - Postgres Extensions Day
A PG kernel fork acquired by Supabase, claiming to solve PG’s XID wraparound problem, eliminate table bloat issues, improve performance by 4x, and support cloud-native storage. Now part of the Pigsty family.
What? PostgreSQL can now be accessed using MySQL clients? That’s right, openHalo, which was open-sourced on April Fool’s Day, provides exactly this capability and has now joined the Pigsty kernel family.
PG17 achieved extension ecosystem adaptation in half the time of PG16, with 300 available extensions ready for production use. PG 12 officially exits support lifecycle.
PostgreSQL Is Eating the Database World through the power of extensibility. With 390 extensions powering PG, we may not say it’s invincible, but it’s definitely getting much closer.
PostgreSQL is now the world’s most advanced open-source database and has become the preferred open-source database for organizations of all sizes, matching or exceeding top commercial databases.
MongoDB has a terrible track record on integrity, lackluster products and technology, gets beaten by PG in correctness, performance, and functionality, with collapsing developer reputation, declining popularity, stock price halving, and expanding losses. Provocative marketing against PG can’t save it with “good marketing.”
PostgreSQL can directly replace Oracle, SQL Server, and MongoDB at the kernel level. Of course, the most thorough replacement is SQL Server - AWS’s Babelfish provides wire-protocol-level compatibility.
Just like the vector database extension race two years ago, the current PostgreSQL ecosystem extension competition has begun revolving around DuckDB. MotherDuck’s official entry into the PostgreSQL extension space undoubtedly signals that competition has entered white-hot territory.
The 2024 StackOverflow Global Developer Survey results are fresh out, and PostgreSQL has become the most popular, most loved, and most wanted database globally for the second consecutive year. Nothing can stop PostgreSQL from devouring the entire database world anymore!
The PostgreSQL Global Development Group announces PostgreSQL 17’s first Beta version is now available. This time, PostgreSQL has truly burst the toothpaste tube!
Today, one of the biggest trends in software development is PostgreSQL becoming the de facto database standard. There have already been blogs about using PostgreSQL for everything, but until now, there haven’t been many articles explaining the reasons behind this phenomenon (and more importantly, why it matters).
PostgreSQL will not change its license, Since the license is literally named after the project, and the project has a long-standing commitment to open source community collaboration.
Whether production databases should be containerized remains a controversial topic. From a DBA’s perspective, I believe that currently, putting production databases in Docker is still a bad idea.
This article describes how Cloudflare scaled to support 55 million requests per second using 15 PostgreSQL clusters, and PostgreSQL’s scalability performance.
DB-Engines officially announced today that PostgreSQL has once again been crowned “Database of the Year.” This is the fifth time PG has received this honor in the past seven years. If not for Snowflake stealing the spotlight for two years, the database world would have almost become a PostgreSQL solo show.
Query optimization is one of the core responsibilities of DBAs. This article introduces how to use metrics provided by pg_stat_statements for macro-level PostgreSQL query optimization.
Vector-based features will become key elements in building applications, just like JSON in history. PostgreSQL once again stands at the forefront of the times leading database trends, securing high growth in the AI era with vector extension support.
This article focuses on vector databases hyped by AI, introduces the basic principles of AI embeddings and vector storage/retrieval, and demonstrates the functionality, performance, acquisition, and application of the vector database extension PGVECTOR through a concrete knowledge base retrieval case study.
Let performance data speak: Why PostgreSQL is the world’s most advanced open-source relational database, aka the world’s most successful database. MySQL vs PostgreSQL performance showdown and distributed database reality check.
Database users are developers, but what about developers’ preferences, likes, and choices? Looking at StackOverflow survey results over the past six years, it’s clear that in 2022, PostgreSQL has won all three categories, becoming literally the “most successful database”
Databases are the core component of information systems, relational databases are the absolute backbone of databases, and PostgreSQL is the world’s most advanced open source relational database. With such favorable timing and positioning, how can it not achieve great success?
Concepts and their naming are very important. Naming style reflects an engineer’s understanding of system architecture. Poorly defined concepts lead to communication confusion, while carelessly set names create unexpected additional burden. Therefore, they need careful design.
Managing databases is similar to managing people - both need KPIs (Key Performance Indicators). So what are database KPIs? This article introduces a way to measure PostgreSQL load: using a single horizontally comparable metric that is basically independent of workload type and machine type, called PG Load.
When GIN indexes are used to search with very long keyword lists, performance degrades significantly. This article explains why GIN index keyword search has O(n^2) time complexity.
Sometimes, interactions between components manifest in subtle ways. For example, using pg_dump to export data from a connection pool can cause connection pool contamination issues.
A common requirement in application development is GeoIP conversion - converting source IP addresses to geographic coordinates or administrative divisions (country-state-city-county-town-village)
Without rules, there can be no order. This article compiles a development specification for PostgreSQL database principles and features, which can reduce confusion encountered when using PostgreSQL.
PostgreSQL’s slogan is “The World’s Most Advanced Open Source Relational Database,” but I think the most vivid characterization should be: The Full-Stack Database That Does It All - one tool to rule them all.
Recently there was a perplexing incident where a database had half its data volume and load migrated away, but ended up being overwhelmed due to increased load.
Wireshark is a very useful tool, especially suitable for analyzing network protocols. Here’s a simple introduction to using Wireshark for packet capture and PostgreSQL protocol analysis.
With file_fdw, you can easily view operating system information, fetch network data, and feed various data sources into your database for unified viewing and management.
Cleverly utilizing PostgreSQL’s Notify feature, you can conveniently notify applications of metadata changes and implement trigger-based logical replication.