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

0 M

A payment processor is currently servicing over 100 million active users

$ 0 B

An insurance company processes over $15B USD in transactions in a single day

Case Study

How We Reduced Our Batch Processing Time by 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%.


Reduced batch processing time

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TiDB Cloud

Get the massive scale and resiliency of TiDB databases in a fully managed cloud service

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TiDB is effortlessly scalable, open, and trusted to meet the real-time needs of the digital enterprise