Author: Yu Xu

Key-value databases have long been used for a variety of applications to provide pre-computed results in real-time. There is, however, an increasing shift towards using Graph technology for real-time applications that illustrates how this game-changing approach is not only ideal for complex datasets and complex...

Many people already know that graph algorithms are the most efficient and sometimes the only solution for complex business use cases, such as clustering different groups of users (Community Detection), finding influential persons or entities (PageRank Algorithm), or predicting user behaviors for personalized recommendation (Label...

1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their products, their employees, etc. The sources may be different departments or computer systems within one enterprise, a combination of internal and...

Today we are proud to announce TigerGraph 2.0 with real time MultiGraph collaboration services -  an industry first that supports upcoming GDPR requirements. The release is all part of TigerGraph’s commitment to innovation as we empower customers to derive even deeper meanings from connected data....

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com. What makes graph databases so popular? Graphs overcome the big and complex data challenges that other databases cannot. With the popularity of graph databases driven by such benefits, there has...