Why China’s Database Market Is Shifting From “Can We Build?” to “Who Can Stay?”

1. Why Databases Are the Hardest Bone in China’s Software Industry

Databases occupy a unique position in enterprise software: they are invisible like infrastructure yet critical like a foundation. When a database becomes the core of a system, organizations demand not just "can it run" but "can it run forever," with reliable rollback, seamless upgrades, and minimal disruption.

2. From IOE Replacement to “Xinchuang”: Raising the Stakes

Early domestic vendors focused on replacing foreign systems (IOE) and later on the "Xinchuang" (information technology innovation) push. Both waves forced enterprises to confront migration tooling, operational platforms, and the engineering debt left by legacy Oracle, MySQL, or PostgreSQL environments.

Since 2016, Xinchuang turned database replacement into a standards‑driven, ecosystem‑wide effort, while open‑source releases such as openGauss (2020) and OceanBase (2021) shifted competition from single‑vendor delivery to a "vendor + community + distribution + service" model.

3. Innovation vs. Legacy Debt

Chinese vendors fall into several lineages: traditional enterprise databases (e.g., Dameng, Kingbase), distributed SQL (OceanBase, TiDB), cloud‑native platforms (PolarDB, TDSQL), and emerging multi‑model/AI‑native systems. Their true innovation lies in re‑engineering capabilities once monopolized by foreign vendors—distributed transaction processing, massive‑scale TPC‑C performance, and cloud integration.

For example, as of March 2026, PolarDB Limitless exceeds 2 billion tpmC, Tencent’s TDSQL surpasses 800 million, and OceanBase reaches roughly 707 million, demonstrating that Chinese products can compete at the highest transaction‑processing tier.

4. The Real‑World “Chicken‑Feathers”: Compatibility, Distribution, and Ecosystem

Compatibility remains a double‑edged sword: products expose Oracle, MySQL, or PostgreSQL compatibility modes (e.g., DM8’s COMPATIBLE_MODE) to lower migration barriers, yet they inherit the complexity and hidden bugs of legacy ecosystems.

Distributed architectures introduce new operational challenges—network latency, consensus failures, cross‑region consistency, and upgrade‑time transaction replay—requiring robust RPO/RTO strategies beyond raw benchmark scores.

Licensing and ecosystem health also matter; open‑source licensing (GPL + commercial) and community support determine whether a database can evolve into a platform rather than a siloed product.

5. The Elimination Round: Who Will Remain?

Three decisive capabilities will separate survivors from the rest:

Hard‑engine performance : Proven extreme‑scale transaction processing (e.g., TPC‑C) that convinces enterprise buyers.

Migration engineering : Mature compatibility modes, tooling, and documented processes that minimize downtime and risk when replacing legacy systems.

Ecosystem organization : Open‑source communities, partner networks, and service ecosystems that turn a product into a platform.

Traditional vendors must acquire cloud‑native and distributed expertise, while cloud‑centric players need to strengthen on‑premise deployment, compliance, and long‑term support for critical industries. The market will consolidate, with some companies being acquired, others pivoting to specialized workloads such as time‑series, graph, or vector databases, and a few retaining core platform positions.

Ultimately, the Chinese database industry has progressed from asking "Are there domestic databases?" to demanding "Which databases can reliably carry the weight of existing systems while delivering distributed, cloud‑native, HTAP, and AI‑native capabilities?" The answer will decide who stays.