In this tutorial, we will cover how to develop and run performant graph algorithms and graph neural network models with TigerGraph [3], a massively parallel platform for graph analytics, and its ...

In this tutorial, we will cover how to develop and run performant graph algorithms and graph neural network models with TigerGraph [3], a massively parallel platform for graph analytics, and its ...

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...

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 ...

Graph database company TigerGraph Inc. today announced a major update to its platform that brings dozens of new enterprise-grade features around availability, scalability, manageability and security.

REDWOOD CITY, Calif., Jan. 21, 2025 (GLOBE NEWSWIRE) -- The enterprise AI infrastructure and graph database leader TigerGraph today announced Savanna, the next generation cloud offering, extending its ...

SINGAPORE, Feb. 22, 2021 (GLOBE NEWSWIRE) -- TigerGraph, provider of the leading graph analytics platform, today announced it has raised $105 million in Series C funding, the largest funding round to ...