A startup named TigerGraph emerged from stealth today with a new native parallel graph database that its founder thinks can shake up the analytics market. With $31 million in venture funding and ...

TigerGraph's new eBook "Native Parallel Graph: The Next Generation of Graph Database for Real-Time Deep Link Analytics," discusses what developers need to learn and leverage the power of scalable and ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

It might not be as bright and shiny as some of the other topics that we've seen here, but there's no denying that the work of Julian Shun and his team is going to be applicable to a lot of the ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

DQ: Could you tell us about the Graph for All Million Dollar Challenge in detail? Dr Yu Xu: The Graph for All Million Dollar Challenge is a global search for innovative ways to harness the power of ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...

Knowledge graphs have evolved to power modern AI, progressing into many varieties such as Knowledge Graph Embeddings (KGE), Domain Knowledge Graphs (DKG), and Retrieval-Augmented Generation (RAG) ...