Banking Industry Solution

One-Stop High-Performance Database Platform for Banking and Financial Services

Key Benefits

Break Through Performance Bottlenecks

Delivers 10M+ TPMC and 1M+ IOPS processing capabilities, boosting performance by 5–10x or more. Resolves issues such as prolonged data warehouse batch processing, slow queries in core systems, and transaction delays during peak periods.

Rock-Solid Reliability

Ensures high availability from fully redundant platform architecture to active-active deployment within the same city and cross-region disaster recovery. Supports dual-active database deployment across data centers and buildings, achieving maximum business continuity with RPO=0 and RTO=0.

Elastic Scalability

Built on open X86/C86 architecture with flexible horizontal scalability. Enables linear expansion of compute and storage resources based on business growth, supporting demand for the next 5–10 years.

Simplified Operations

Provides a unified QCP (QData Cloud Platform), enabling resource pooling and standardized automated management. Integrates diverse business systems into a single platform, greatly simplifying database deployment, disaster recovery, backup, and development/testing processes—significantly reducing operational complexity and total cost of ownership (TCO).

Solution Overview

Through integrated transformation, the platform supports critical business scenarios such as core transaction processing (OLTP) and data analytics (OLAP).

It delivers online transaction processing capabilities exceeding tens of millions of TPM and data throughput at the 100+ GB level. Leveraging a mature Active-Active database solution within the same city, it builds a high-availability disaster recovery architecture that ensures maximum business continuity (RPO=0, RTO=0).

Additionally, the solution integrates Continuous Data Protection (CDP) and remote disaster recovery backup capabilities, enabling test environments to be deployed within seconds—significantly improving development and testing efficiency.

Application Scenario

Core System and Data Warehouse Modernization

Traditional "IOE" architectures or legacy data warehouse appliances in banks are increasingly unable to cope with surging data volumes. This results in slow report queries, prolonged batch processing, and even impacts front-end operations. Additionally, these systems face challenges in scalability and incur high maintenance costs.