OpenText
1827 Case Studies
A OpenText Case Study
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.