Enterprise Data

TigerGraph is providing the next evolutionary step in Graph Databases. It is the first system capable of performing Real-Time Analytics of data on a web-scale. The Native Parallel Graph (NPG) is designed to focus on both computation and storage, while supporting graph updates in real-time...

TigerGraph's Product Manager, Victor Lee, describes how TigerGraph achieves fast data ingest, fast graph traversal, and deep link analytics even for large data sets The ability to draw deep connections between data entities in real time requires new technology designed for scale and performance. There are...

Real-time big graphs represent the next stage in the graph database evolution, and are designed to deal with massive data volumes and data creation rates to provide real-time analytics. Enterprises demand real-time graph analytic capabilities that can explore, discover and predict very complex relationships. This represents...

Last year, Baidu bought Kitt.ai in Seattle, and invested some an estimated $40 million in three machine learning and data companies: Silicon Valley-based data link analytics entrant TigerGraph, big data application Tiger Computing Solutions, and computer vision startup xPerception....

The world’s swiftest graph analytics platform for the enterprise, TigerGraph, has just introduced TigerGraph 2.0. This latest program will provide businesses with the fastest and most scalable graph analytics to date. The new platform offers a Multiple Graph feature, which is the first of its...