Case Study: ShengPay achieves 10x faster analytics and scalable Big Data insights with OpenText

ShengPay creates a Big Data analysis solution with Vertica, which provides the platform for unearthing vital business intelligence.

ShengPay, a leading Chinese third‑party payment platform, was grappling with explosive growth in transaction data—hundreds of gigabytes per day—straining its IT systems and limiting its ability to extract timely insights for sales, risk management and operations. The company needed a Big Data analytics platform that could deliver high performance on massive, rapidly growing volumes while ensuring data integrity, security and reduced operational overhead.

ShengPay deployed Vertica, a columnar, MPP analytics platform with high compression, fast batch loading and automatic optimization. After migration, query times dropped from roughly two hours to seconds or minutes (more than a tenfold improvement), daily data loads finish in minutes to under an hour, and the system now provides fault tolerance, cost‑effective scalability and lower DBA workload—supporting better decision‑making across sales, risk and operations.

ShengPay