TigerGraph positions itself as a solution for real-time graph analytics for extremely big data.

Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics to gain real-time insights and answer critical business questions ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...

Real-time indexing on TRON pairs one of the industry’s largest transaction flows with The Graph’s fastest data pipeline, a combination likely to attract new analytics tools, market activity ...

Real-time attribution analysis to the finest data granularity, which was previously impossible with traditional RDBMS (relational database management system) like Oracle; 2).

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data.

Here, we look at the importance of real-time data to any organization and explore different use-cases and examples that illustrate my real-time data matters more than ever.

There is. Below are five roles that developers may find Python playing in real-time embedded systems. Role #1 – Device control and debugging During the embedded software development process, ...