Mingxi Wu and Yu Xu offer an overview of GraphSQL, a high-performance enterprise graph data platform for real-time graph analytics that enables businesses to transform structured, semistructured, and unstructured data and massive enterprise data silos into an intelligent interconnected data network, uncovering implicit patterns and critical insights to drive business growth.
Mingxi and Yu outline GraphSQL’s complete technology architecture and discuss the key advantages of using the platform, including fast data loading, high-performance parallel execution of graph algorithms, real-time capability for streaming updates and inserts using REST, a unified environment for both real-time analytics and large-scale offline data processing, and a complete high-level SDK with intuitive visualization. Users of the platform benefit significantly by using SQL-like graph query language (GSQL) while inherently getting the ideal performance on big data. Mingxi and Yu also share two customer case studies: combatting telecom fraud in real time with graph-powered machine learning at China Mobile and making intelligent decisions with enterprise knowledge graphs at Long Credit.
Mingxi Wu is the vice president of engineering at GraphSQL, a startup building a leading real-time graph data platform. Over his 15-year career, Mingxi has focused on database research and data management software building in Microsoft’s SQL server group and Oracle’s relational database optimizer group. He has won research awards in the most prestigious publication venues in database and data mining (SIGMOD, KDD, and VLDB). Recently, he has been focusing on building an easy-to-use and highly expressive graph query language. Mingxi holds a PhD from the University of Florida, where he specialized in both database and data mining.
Yu Xu is the cofounder and CEO at GraphSQL. Previously, Yu held data engineering roles at Twitter, Teradata, and IBM. He is the author of 26 US patents (13 issued and 13 pending) in the areas of parallel computing, large-scale data analysis, information retrieval, and data management and has published 13 papers at top database conferences. Yu has also served on the program committees of top conferences in his field.
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