Next-Generation Database Benchmark for Financial Scenarios

Abstract

As the major financial entity in China, banks have high performance and security requirements for databases and data service solutions. With the progression of data application services in banking, the data types and business scenarios become more diverse, and it is difficult for users to make optimal choices among a wide diversity of database products and data service solutions. In combination with the data application demands of the financial industry, this study comprehensively analyzes the current status of applications of databases in banking, particularly the status and challenges of database localization in recent years, by using literature research and theoretical analysis. In addition, we systematically investigate the database benchmarks of China and other countries, and further prospect the necessity and importance of constructing next-generation database benchmarks for financial scenarios. We find that current database benchmarks have many deficiencies and face various challenges in dealing with the database testing in financial scenarios owing to the complex business logic, diverse data patterns, and high security requirements. Therefore, to build a nextgeneration database benchmark that can meet the requirements of financial scenarios, we propose several suggestions to address these challenges, which involve the aspects of workloads, data schemes, metrics, and technical architecture.

Keywords

• financial industry, bank, financial data, database, benchmark