GBASE Financial IT Innovation Featured Solutions: Core Banking System Database Solution

To promote the efficient and orderly implementation of financial IT innovation and continuously provide referenceable and replicable guidelines and demonstrations for the financial industry, the Financial IT Innovation Ecosystem Laboratory (hereinafter referred to as the "Laboratory") has successively organized the first and second rounds of selection of financial IT innovation solutions since November 2021. Multiple solutions from GBASE (General Data Technology Co., Ltd.) stood out, were recognized as "Excellent Financial IT Innovation Solutions," and gained widespread attention and recognition.

To this end, the Laboratory has specially launched a column for Excellent Financial IT Innovation Solutions to showcase outstanding achievements. Now, let's explore GBASE's outstanding solutions.

Core Banking System Database Solution

Solution Overview

With continuous technological innovation, the banking industry has begun to explore the autonomous and innovative development of IT systems, undertaking the migration of core business systems from proprietary minicomputers to open platforms and transforming foundational platforms, including servers, chips, operating systems, databases, middleware, core business applications, etc. This solution is based on the system transformation of core banking systems in the financial industry.

Pain Points and Challenges Addressed

(1) Compatibility of software and hardware foundational platforms. Platform products include chips, operating systems, databases, middleware, etc. During project implementation, attention must be paid to early adaptation and selection, choosing an appropriate technology route, and validating in production environments to promptly discover, troubleshoot, and resolve issues.

(2) Database compatibility. This includes migration of tables and view structures, syntax compatibility, business logic migration, migration of stored procedures, functions, and scripts, and adaptation of common database interfaces.

(3) Plan and steps for transitioning from dual-track parallel operation to single-track cut-over. To ensure a safe and smooth system switch, it is necessary to complete pre-cutover related work, select the switching method and time window, compile switching manuals, write switching scripts, and conduct multiple rounds of switching drills.

(4) Risk handling mechanism. Abnormalities may occur during and after the system switch. Emergency plans must be activated to resolve them, with the entire system rolling back to the original system and data access reverting to the original database. This requires data synchronization between the original database and the new database.

(5) Performance tuning of the new system. After the new system goes live, performance comparison and tuning between the old and new systems must be performed. Following optimization principles from solidification (planning stage) to static (design stage) to dynamic (development and operations stage), performance optimization should be carried out step by step.

Typical Case: Core Banking System Construction Project of a City Commercial Bank

This case adopts Kunpeng 920 chip + NeoKylin V7.0 operating system + GBase 8s V8 database + Seerich fwbs middleware, employing a compute-storage separation architecture and leveraging Huawei OceanStor high-end all-flash storage to provide high-performance data read/write and highly reliable data disaster recovery protection. Based on business requirements, the business system structure and processes were sorted out and functionally transformed, achieving improvement in business processing efficiency at the business level. The average response time for business transactions improved by 20% compared to before the transformation; batch processing time improved by 38%; and backup time improved by 6 times.

Financial IT Innovation Ecosystem Laboratory

The Financial IT Innovation Ecosystem Laboratory (hereinafter referred to as the "Laboratory") is an important infrastructure and specialized experimental platform dedicated to financial IT innovation, established to implement the national innovation-driven development strategy. It is led by the People's Bank of China, initiated by China Financial Electronics Group Co., Ltd., in cooperation with key financial institutions and industry institutions, and with participation from organizations engaged in industry, academia, research, and application within the financial IT innovation ecosystem, adhering to the principles of "co-consultation, co-construction, win-win, and sharing."

Adhering to goal-oriented and problem-oriented approaches, the Laboratory pools resources from multiple parties to solve common issues in financial IT innovation and form common solutions for financial IT innovation. Since the launch of solution solicitation, the Laboratory has collected over a thousand solutions, building a case library that provides referenceable, replicable, and scalable guidelines and demonstrations for financial institutions.

The Laboratory is about to launch the third round of solicitation for financial IT innovation solutions. We welcome more organizations to actively participate, presenting more and better solutions, disseminating them, empowering the financial industry's IT innovation and digital transformation and upgrading, and contributing wisdom and strength to promoting high-quality development and technological self-reliance in the financial industry.

General Data Technology Co., Ltd.

Founded in 2004, General Data Technology Co., Ltd. has consistently dedicated itself to the development and promotion of independent and controllable databases, providing products and services to tens of thousands of users in sectors including government and public services, finance, telecommunications, e-government, energy, transportation, and national defense. Financial industry clients include: policy banks, large state-owned commercial banks, joint-stock banks, city commercial banks and rural credit cooperatives, insurance, securities, etc.

The GBASE series databases include: centralized transactional databases, distributed transactional databases, distributed analytical databases, cloud data warehouses, and more. GBASE databases are already deployed in over 110 banks, with business coverage spanning core banking, core trading systems, general trading systems, office systems, data warehouses, big data platforms, data middle platforms, lakehouse unification, and other applications. Among them, the centralized transactional database GBase 8s has been implemented in core banking systems of city commercial banks; the distributed analytical database GBase 8a has been applied in data warehouse projects of multiple large state-owned banks and state-owned insurance companies.