How Domestic Databases Are Shaping China’s Financial Digital Transformation

Shift from Core Engine to Experience‑Driven Innovation

Domestic database vendors are moving from pure kernel development toward rapid, scenario‑based deployment. By feeding real‑world implementation feedback back into product design, they expand both the breadth (more workloads) and depth (higher performance) of database offerings.

Historical Development of Chinese Databases

Two major waves shaped the market:

First wave (≈2000): Emergence of open‑source RDBMS such as MySQL and PostgreSQL broke the monopoly of Oracle and SQL Server.

Second wave (post‑2010): Cloud computing enabled a new generation of cloud‑native databases. Representative products include Alibaba Cloud PolarDB and Tencent Cloud distributed database TDSQL.

Since 2013 the industry entered a rapid growth phase, aligning with the global “second wave” of database innovation.

Macro Drivers and Policy Support

Digital transformation—accelerated by the pandemic—has made databases a backbone for AI, big data, and IoT. Enterprises now demand:

Distributed architectures

Hybrid Transactional/Analytical Processing (HTAP)

Shared‑memory and clustering capabilities

National policies reinforce these trends. The “14th Five‑Year Plan for Software and Information Technology Services” calls for accelerating distributed database development and promoting high‑performance databases in finance, telecom, and energy. The “Digital China Overall Layout Plan” emphasizes building a solid data‑infrastructure foundation.

Challenges in a Complex Data Landscape

IDC reports that global data volume reached 84 ZB in 2021; 80 % of enterprises manage more than ten data types, and 500 million new applications are expected by 2024. Consequently, databases must handle:

Massive concurrent workloads

Diverse formats (transactional, log, geospatial, semi‑structured)

Elimination of data silos

In cloud‑native and multi‑cloud environments, databases also need to support:

Rapid application delivery and continuous integration

Seamless data migration and integration across clouds

Real‑time analytics and ad‑hoc query performance, especially for mobile‑internet scenarios

Strong security, reliability, compliance, and protection against data loss or breaches (over 60 % of enterprises already operate in multi‑cloud settings and plan deeper integration within two years).

Financial Core Scenarios: A High‑Stakes Test

Financial institutions impose the strictest requirements for performance, stability, and security. Typical characteristics include:

Large‑scale, complex workloads that demand low latency and high throughput

Adoption of micro‑service and container architectures to leverage cloud elasticity

Integration of emerging technologies such as AI, blockchain, and cloud computing, requiring convergence of transaction processing and analytics (HTAP).

Success in the financial sector validates a vendor’s technology stack and opens opportunities in other verticals.

Deployment Strategies

Domestic databases are typically deployed via three patterns:

Core‑system migration: Replace legacy core business systems with a new database as the primary choice for core‑system modernization.

Industry‑specific distributed instances: Provide Oracle‑compatible distributed databases that enable smooth migration for sectors such as energy, transportation, and manufacturing.

NewSQL / Serverless workloads: Use ServerlessDB or other NewSQL solutions to support innovative, high‑concurrency applications.

Outlook

From early imitation to independent R&D, Chinese databases have become a cornerstone of national digital transformation and have achieved world‑leading performance in certain domains. However, gaining global market share remains a long‑term challenge that requires continuous technical innovation, open collaboration, and sustained investment.