Recently, the 2025 DataTech50 list launched by FinTech Global, a world - leading fintech information service giant, was officially announced. Ultipa successfully made it to the list with its excellent data management technology and innovation capabilities.
It is worth mentioning that this is not the first time Ultipa has received this honor. In 2024, when FinTech Global launched the first "DataTech50 for 2024" ranking list, Ultipa, with its leading technology and innovation strength in the field of graph databases, successfully made it onto this global award list.
It is understood that the release of this year's DataTech50 list aims to assist senior management and data professionals in screening out enterprises from numerous solution providers in the market that can help financial institutions enhance their data capabilities and transform them into competitive advantages. The selection criteria are extremely strict. The Advisory Committee and the Fintech Global team conduct evaluations from multiple dimensions, including the industry importance of the problems solved, growth measured in terms of financing amount, revenue, customer attractiveness, etc., the innovativeness of technological solutions, potential cost savings, efficiency improvements, impact on the value chain, revenue growth brought to customers, and the importance for financial institutions to understand the company, etc.
Ultipa has been able to stand out in the fierce competition and be selected for the DataTech50 list for two consecutive years, which is inseparable from its profound technological accumulation and continuous innovation investment. As an international high-performance computing and storage graph database vendor, Ultipa's financial solutions are developed based on long-term research on financial businesses. They found that customers do not lack data, but rather lack useful and effective tools. Therefore, Ultipa has provided a series of breakthrough solutions to help financial institutions turn waste into treasure from massive data and significantly improve data utilization.