Database

Database refers to logical objects created by the SQL command CREATE DATABASE within a database cluster.

Database

Database refers to the logical object created using the SQL command CREATE DATABASE within a database cluster.

Data 2025: Year in Review with Mike Stonebraker

A conversation between Mike Stonebraker (Turing Award Winner, Creator of PostgreSQL), Andy Pavlo (Carnegie Mellon), and the DBOS team.

What Database Does AI Agent Need?

The bottleneck for AI Agents isnt in database engines but in upper-layer integration. Muscle memory, associative memory, and trial-and-error courage will be key.

MySQL and Baijiu: The Internet’s Obedience Test

MySQL is to the internet what baijiu is to China: harsh, hard to swallow, yet worshipped because culture demands obedience. Both are loyalty tests—will you endure discomfort to fit in?

MinIO Is Dead. Who Picks Up the Pieces?

MinIO just entered maintenance mode. What replaces it? Can RustFS step in? I tested the contenders so you don’t have to.

MinIO is Dead

MinIO announces it is entering maintenance mode, the dragon-slayer has become the dragon – how MinIO transformed from an open-source S3 alternative to just another commercial software company

Why PostgreSQL Will Dominate the AI Era

Context window economics, the polyglot persistence problem, and the triumph of zero-glue architecture make PostgreSQL the database king of the AI era.

Column: Database Guru

The database world is full of hype and marketing fog. This column cuts through it with blunt commentary on industry trends and product reality.

Dongchedi Just Exposed “Smart Driving.” Where’s Our Dongku-Di?

Imagine a “closed-course” shootout for domestic databases and clouds, the way Dongchedi just humiliated 30+ autonomous cars. This industry needs its own stress test.

Google AI Toolbox: Production-Ready Database MCP is Here?

Google recently launched a database MCP toolbox, perhaps the first production-ready solution.

Where Will Databases and DBAs Go in the AI Era?

Who will be revolutionized first - OLTP or OLAP? Integration vs specialization, how to choose? Where will DBAs go in the AI era? Feng’s views from the HOW 2025 conference roundtable, organized and published.

Stop Arguing, The AI Era Database Has Been Settled

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.

Open Data Standards: Postgres, OTel, and Iceberg

Three emerging standards in the data world: Postgres, OpenTelemetry, and Iceberg. Postgres is already the de facto standard.

The Lost Decade of Small Data

If DuckDB had launched in 2012, the great migration to distributed analytics might never have happened. Data isnt that big after all.

How Many Shops Has etcd Torched?

Plenty. If you’re rolling your own Kubernetes, odds are you’ll crash because etcd ships with a 2 GB time bomb.

In the AI Era, Software Starts at the Database

Future software = Agent + Database. No middle tiers, just agents issuing CRUD. Database skills age well, and PostgreSQL is poised to be the agent-era default.

MySQL vs. PostgreSQL @ 2025

A 2025 reality check on where PostgreSQL stands relative to MySQL across features, performance, quality, and ecosystem.

Database Planet Collision: When PG Falls for DuckDB

If you ask me, we’re on the brink of a cosmic collision in database-land, and Postgres + DuckDB is the meteor we should all be watching.

Comparing Oracle and PostgreSQL Transaction Systems

The PG community has started punching up: Cybertec’s Laurenz Albe breaks down how Oracle’s transaction system stacks against PostgreSQL.

7 Databases in 7 Weeks (2025)

Is PostgreSQL the king of boring databases? Here are seven databases worth studying in 2025: PostgreSQL, SQLite, DuckDB, ClickHouse, FoundationDB, TigerBeetle, and CockroachDB—each deserving a week of deep exploration.

Solving Poker 24 with a Single SQL Query

An interesting but tricky puzzle: solving the 24 game with SQL. The PostgreSQL solution.

Self-Hosting Supabase on PostgreSQL

Modern Hardware for Future Databases

A survey on how hardware developments affect database design, covering key advancements in networking, storage, and computing.

Can MySQL Still Catch Up with PostgreSQL?

Percona founder Peter Zaitsev discusses whether MySQL can still keep up with PostgreSQL. His views largely represent the MySQL communitys perspective.

Optimize Bio Cores First, CPU Cores Second

Programmers are expensive, scarce biological computing cores, the anchor point of software costs — please prioritize optimizing biological cores before optimizing CPU cores.

MongoDB: Now Powered by PostgreSQL?

MongoDB 3.2’s analytics subsystem turned out to be an embedded PostgreSQL database? A whistleblowing story from MongoDB’s partner about betrayal and disillusionment.

MySQL is dead, Long live PostgreSQL!

This July, MySQL 9.0 was finally released—a full eight years after its last major version, 8.0 (@2016-09).

Can Oracle Still Save MySQL?

Percona founder Peter Zaitsev publicly expressed disappointment with MySQL and Oracle, criticizing the declining performance with newer versions.

Oracle Finally Killed MySQL

Peter Zaitsev, founder of Percona, criticizes how Oracles actions and inactions have killed MySQL. About 15 years after acquiring Sun and MySQL.

MySQL Performance Declining: Where is Sakila Going?

Higher MySQL versions mean worse performance? Percona monitoring shows slow migration from 5.7 to 8.x. PostgreSQL is pulling ahead.

Can Chinese Domestic Databases Really Compete?

Friends often ask me, can Chinese domestic databases really compete? To be honest, it’s a question that offends people. So let’s try speaking with data - I hope the charts provided in this article can help readers understand the database ecosystem landscape and establish more accurate proportional awareness.

The $20 Brother PolarDB: What Should Databases Actually Cost?

Today we discuss the fair pricing of commercial databases, open-source databases, cloud databases, and domestic Chinese databases.

Redis Going Non-Open-Source is a Disgrace to "Open-Source" and Public Cloud

Redis “going non-open source” is not a disgrace to Redis, but a disgrace to “open source/OSI” and even more so to public cloud. What truly matters has always been software freedom, while open source is just one means to achieve software freedom.

How Can MySQL's Correctness Be This Garbage?

MySQL’s transaction ACID has flaws and doesn’t match documentation promises. This may lead to serious correctness issues - use with caution.

Database in K8S: Pros & Cons

Whether databases should be housed in Kubernetes/Docker remains highly controversial. While K8s excels in managing stateless applications, it has fundamental drawbacks with stateful services like databases.

Are Specialized Vector Databases Dead?

Vector storage and retrieval is a real need, but specialized vector databases are already dead. Small needs are solved by OpenAI directly, standard needs are captured by existing mature databases with vector extensions. The ecological niche left for specialized vector databases might support one company, but trying to build an industry around AI stories is impossible.

Are Databases Really Being Strangled?

Many “domestic databases” are just shoddy, inferior products that can’t be helped. Xinchuang domestic OS/databases are essentially IT pre-made meals in schools. Users hold their noses while migrating, developers pretend to work hard, and everyone plays along with leaders who neither understand nor care about technology. The infrastructure software industry isn’t being strangled by anyone - the real chokehold comes from the so-called “insiders.”

Which EL-Series OS Distribution Is Best?

RHEL-series OS distribution compatibility level: RHEL = Rocky ≈ Anolis > Alma > Oracle » Euler. Recommend using RockyLinux 8.8, or Anolis 8.8 for domestic requirements.

What Kind of Self-Reliance Do Infrastructure Software Need?

When we talk about self-reliance and control, what are we really talking about? Operational self-reliance vs. R&D self-reliance - what nations/users truly need is the former, not flashy “self-research”.

Back to Basics: Tech Reflection Chronicles

The cost-cutting imperative has triggered a reevaluation of all technologies, including databases. This series critiques hot DB technologies and poses fundamental questions about their trade-offs: Are cloud databases, distributed databases, microservices, and containerization real needs or false hype?

Database Demand Hierarchy Pyramid

Similar to Maslow’s hierarchy of needs, user demands for databases also have a progressive hierarchy: physiological needs, safety needs, belonging needs, esteem needs, cognitive needs, aesthetic needs, self-actualization needs, and transcendence needs.

NewSQL: Distributive Nonsens

As hardware technology advances, the capacity and performance of standalone databases have reached unprecedented heights. which makes distributed (TP) databases appear utterly powerless, much like the “data middle platform,” donning the emperor’s new clothes in a state of self-deception.

Is running postgres in docker a good idea?

Thou shalt not run a prod database inside a container

Understanding Time - Leap Years, Leap Seconds, Time and Time Zones

A proper understanding of time is very helpful for correctly handling time-related issues in work and life. For example, time representation and processing in computers, as well as time handling in databases and programming languages.

Understanding Character Encoding Principles

Without understanding the basic principles of character encoding, even simple string operations like comparison, sorting, and random access can easily lead you into pitfalls. This article attempts to clarify these issues through a comprehensive explanation.

Concurrency Anomalies Explained

Concurrent programs are hard to write correctly and even harder to write well. Many programmers simply throw these problems at the database… But even the most sophisticated databases won’t help if you don’t understand concurrency anomalies and isolation levels.

Tags: Database