As an important part of financial informatization, the database faces the challenges of continuous business growth and high availability and scalability, while the traditional single-point architecture of databases, represented by MySQL, Oracle, etc., fails to meet the current requirements of financial services in terms of availability, scalability and storage capacity. Distributed databases are designed to address the challenges faced by single-site databases and provide the more flexible architecture, ensuring stable system operation. To this end, this study, subject to actual financial service requirements, researches and implements a distributed database equipped with a distributed SQL engine, which is capable of distributed transaction support and hybrid transactional/analytical processing. The system is designed with full component redundancy. In addition, high availability of the storage layer and strong consistency of the data are ensured by the Raft-like enhanced consistency algorithm, while high availability of the scheduling layer is guaranteed by the Zookeeper-based cluster scheduling scheme.