Database

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

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.

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.

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

Whether databases should be housed in Kubernetes/Docker remains highly controversial. While Kubernetes (k8s) excels in managing stateless applications, it has fundamental drawbacks with stateful services, especially databases like PostgreSQL and …

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.

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."

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

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".

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?