Ultipa was awarded "The World's Most Promising HPC (High Performance Computing, high-performance computing) Solution Provider" in 2022 by CIOReview, one of the most prestigious science and technology information review magazines.
With its newly launched Version 4.0 of the graph database, Ultipa product matrix comprises both the core Ultipa graph database and killer applications like Ultipa Asset-liability Management Graph System, Ultipa Intraday Liquidity Management System, Ultipa Smart BI & Analytics, and Ultipa Smart Data Toolkits, and offers unique and unprecedented solutions for dozens of core and high-value business scenarios in BFSI and healthcare industries.
From Day 1, the team at Ultipa recognizes the architectural limitations of traditional table-based Relational DBMS and data-warehouse which are rigid, slow and incapable of deep-link analysis, therefore, the core innovation and competency of Ultipa have always been offering a lightning fast high-dimensional database that is flexible, fast and capable of ultra-deep link analysis. For instance, with the help of Ultipa, a large retail and commercial bank uses a small-scale cluster of only 4 X86 servers to achieve bank-wide real-time liquidity risk management. Compareding with Oracle system, which takes T+1 for LCR (Liquidity Coverage Ratio) calculation, Ultipa system takes only 1-second, the performance gain is over 10,000 times! On the other hand, Oracle system is black-box, with zero-visualization, and offers no performance or attribution analysis, while Ultipa supports highly interactive, fully-visualized, dynamic attribution analysis per any risk factor or financial metric, and real-time stress-testing, and scenario-simulation as well. From high-performance computing perspective, Ultipa Graph system manifests how high-density graph computing technology can empower customer to achieve higher concurrency, low latency and lower carbon emissions.
In April this year, Ultipa’s Liquidity Risk Management solution was elected to the IBM Global Technology showcases, as the first case worldwide, to employ "graph computing and graph database" technology for liquidity risk identification and management.