The Challenge
Payment processing has special requirements
Many payment apps are “super apps”, that are intended to extend beyond the initial design and aggregate multiple payment products and non-payment services. Additionally, these apps serve two distinct user communities: the consumer and the merchant. Each of these user groups has distinct, and often disparate, needs.
The conflict between processing transactions and real-time analytics, coupled with data security and availability concerns, makes payment processing a challenging issue.
Our Solution
Secure and scalable real-time analytics deliver results
TiDB accommodates unpredictable usage patterns with the ability to scale in, out, up, or down as needed. With HTAP capabilities, TiDB delivers real-time data monetization by providing immediate analytical capabilities, allowing an organization to shift to meet changing demands. Operational analytics also help to detect and prevent fraudulent transactions.
A major bank accommodated peak traffic at 10x their normal traffic
A payment processor is currently servicing over 100 million active users
An insurance company processes over $15B USD in transactions in a single day
Case Study
How We Reduced Our Batch Processing Time by About 58% with a Scale-Out MySQL Alternative
WeBank is China's first privately-owned Internet bank. As they grew, they encountered database performance and capacity bottlenecks. By using TiDB, a scale-out MySQL alternative, they reduced their batch processing time by ~58%.
TiDB Cloud
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TiDB
TiDB is effortlessly scalable, open, and trusted to meet the real-time needs of the digital enterprise