Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the ...

“Graph has proven to accelerate and improve ML learning and performance, but the learning curve to use the APIs and libraries to make that happen has proven very steep for many data scientists,” said ...

Katana Graph Inc., developer of a platform that analyzes large unstructured data sets using high-performance graph algorithms, announced today that it has raised $28.5 million in a new round of ...

All large organizations, and a whole lot of small ones, use databases. These tools keep names, dates, numbers and other tidbits of information neatly in order, organized into tables by common ...