Case Study: ShengPay achieves 10x faster Big Data analysis with OpenText Vertica

A OpenText Case Study

Preview of the ShengPay Case Study

ShengPay creates a Big Data analysis solution with OpenText (formerly Vertica), which provides the platform for unearthing vital business intelligence

ShengPay needed a high-performance, scalable Big Data analytics platform to handle massive volumes of financial data and improve sales, risk management, and operations strategy. It chose OpenText Vertica to support analysis of data generated by millions of commercial users and hundreds of millions of financial users nationwide.

OpenText implemented Vertica’s distributed, columnar Big Data architecture to improve speed, scalability, and reliability for ShengPay. The results were significant: analysis time dropped from two hours to seconds or minutes, improving efficiency by more than ten-fold. Data loading also fell to under an hour and sometimes just minutes, while Vertica’s compression, MPP scalability, and fault-tolerant design helped reduce storage demands and keep the platform stable as ShengPay grew.


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