en.Wedoany.com Reported - On May 30, Shenzhen released news that the distributed version of the Yashan Database System, independently developed by the Shenzhen Institute of Computing Sciences, has successfully passed the "Security and Reliability Assessment" certification by the China Information Security Evaluation Center. Among the products that passed the highest-level assessment in this batch, this system is the only domestic database to achieve a complete closed loop of "full-stack self-development from original theory to core system."

The core highlight of Yashan Database passing this assessment lies in China's basic software moving from "usable substitution" further towards "original system capability verification." Databases serve as the data foundation for critical operations such as government affairs, finance, energy, transportation, and urban governance. The security and reliability assessment focuses not only on whether product functions are complete but also on comprehensive capabilities including security protection, operational reliability, core technology autonomy, and supply chain security. Public information shows that the Yashan Database System, which passed this assessment, is built on a self-developed kernel with a converged cluster technology roadmap, changing the industry's long-standing reliance on piecing together different technology stacks. It provides a sustainably evolving autonomous technology foundation for critical industry information infrastructure. The Shenzhen Institute of Computing Sciences also mentioned that the system is fully self-developed from core theory to key systems. Original theories and engineering implementations, such as resource-constrained computing and cross-model fusion queries, have passed scientific and technological achievement appraisals by authoritative institutions, reaching internationally leading levels.

This breakthrough is also directly relevant to smart city and critical information infrastructure scenarios. The Yashan Database System integrates AI-native capabilities into its underlying architecture, supporting the operation of ultra-large-scale smart cities. It enables the aggregation and processing of over 3.8 billion pieces of heterogeneous data in Shenzhen, covering public basic information resources involving a population of approximately 18 million. For megacity governance, the database system needs to simultaneously process multiple data types, including population, legal entities, spatial geography, government service items, public services, and urban operations. It must support high-concurrency access and complex queries while ensuring data security, business continuity, and cross-system collaboration. The application of Yashan Database in this scenario indicates that competition among domestic databases is moving from single-point performance metrics to a comprehensive verification phase involving city-level complex operations, AI-native architecture, and reliable operation of critical systems.

Subsequent observation will focus on whether the distributed version of Yashan Database continues to enter more government, finance, energy, transportation, and overseas core business scenarios, and whether its AI-native capabilities can generate more stable engineering value in data governance, intelligent queries, heterogeneous data fusion, and multi-agent collaborative operation. The new breakthrough in original basic software from Shenzhen, China, demonstrates that domestic databases are forming a more complete industrialization verification path centered on security and reliability, full-stack self-development, distributed architecture, and smart city applications.

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