High-performance graph database empowers digital transformation

During an event of Post-2022 CIFTIS Exhibitor Group Interview series held recently, Li Yue, Vice President of Beijing Haizhi Xingtu Technology Co., Ltd., gave a brief account of the company's gains from participation in the 2022 CIFTIS and the progress it has made in promoting the application of graph processing technology and AtlasGraph in various fields.

It is reported that the "graph" in the graph database refers to an ancient data structure consisting of vertices and edges, which has a history of over a hundred years. Graph data provides the ability to analyze and find problems from a "relationship" perspective, enabling more intuitive and clearer depiction of the world as it really is. Today, graph databases have wrestled the strategic leadership in international competition in the database industry.

As an enterprise-level graph database, AtlasGraph provides users with high-performance graph storage, processing, query, visual analysis, and display services. Featured with trillion-level data storage and processing, millisecond-level concurrent query response, 10-plus dimension deep link analysis capability, massive data visualization modeling capability, and standardized graph query language, AtlasGraph provides solid support for real-time decision analysis for online businesses, and helps users quickly develop applications such as intelligent Q&A, recommendation engines, financial risk control, social network analysis, carbon footprint calculation, and artificial intelligence.

At present, AtlasGraph has been deployed in multiple enterprises to support the transformation of their graph processing applications in the information technology application and innovation industry. Representative cases include providing security for major events like the Olympic Winter Olympics, the 7th National City Games, World University Games, and the Bund in Shanghai; helping Chinese indigenous aircraft to go through the critical stage of development in the field of intelligent manufacturing; drawing portraits of listed companies on exchanges, building digital IPO review platforms, and taking targeted measures to ease the burden of small and medium-sized enterprises in the financial field.

On March 25, 2021, Haizhi Xingtu, together with Zheng Weimin, academician of the Chinese Academy of Engineering and professor of the Department of Computer Science and Technology, Tsinghua University, and his research team, launched the "Haizhi High-Performance Graph Processing Academicians & Experts Workstation" to cooperate to develop high-performance graph processing, a strategic emerging data intelligence technology, and create a data intelligence industry ecosystem featuring "software and hardware coordination, cloud-edge-end collaboration", thus facilitating the rapid development of China's graph related technologies and industries. Over 90% of the workstation staff are PhD graduates from Tsinghua University.

As a leading enterprise in graph processing technology, Haizhi Xingtu was invited to draft the Financial Risk Prevention and Control Based on Text Data - Technical Framework Guidelines for Knowledge Graph Construction, a national-level standard related to knowledge graphs, together with China Financial Standardization Technical Committee (CFSTC) as a main drafter. It also participated in the development of multiple national-level knowledge graph technology frameworks, such as the Technical Framework of Knowledge Graph by the China Electronics Standardization Institute and the Technical Requirements for and Testing Methods of Graph Processing Platforms by the China Academy of Information and Communications Technology.

Haizhi Xingtu, as a core member, participated in the development of the global first LDBC Financial Benchmark (FinBench) approved by Linked Data Benchmark Council (LDBC), an international authoritative technical association. The standard group is composed of six technology companies from China and abroad, including Ant Group, Intel, and Haizhi Xingtu.

Based on AtlasGraph, Haizhi Xingtu, as an outstanding representative vendor in China, has been selected multiple times in reports such as the Market Guide for Analytics Platforms, China, Chinese Database Management System Vendor Selection, and Market Guide for Graph Database Management Systems released by the international authoritative IT research and consulting company Gartner in May, June and September of 2022 respectively.

Referring to the gains from participating in the 2022 CIFTIS, Li Yue stated that this year's fair has made Haizhi Xingtu truly feel that China's digital market is ushering in a golden period of development: with increasingly mature technologies, broader applications and better policies in the thriving market, more and more enterprises have begun to increase investment in digital transformation, and consumer demand for new digital services is growing fast. This provides very favorable development space for Chinese enterprises with independent and manageable technology.

As a supplier of solutions for the digitalization of Chinese economy, Haizhi Xingtu will continue to break through the bottleneck of technology. The company will deepen its R&D in the area of independent and manageable basic software layers, in addition to the application layer of information technology, and build a complete ecosystem of graph processing technology and products to promote the digital transformation of various industries and enterprises, and drive the development of knowledge-intensive services to a higher level.

It is hoped that the next CIFTIS will continue to exert a strong "magnet effect", providing more opportunities for small and medium-sized enterprises and technology startups to showcase the development strength of China's emerging science and technology, and under the guidance of an open China strategy, injecting China's surging technological strength into the recovery and sustained growth of the world economy.