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 ...

TigerGraph Inc. aims to nudge its graph database closer to the mainstream market with enhancements announced today. The new features include better integration with popular relational and NoSQL ...

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 feature ...

TigerGraph is releasing TigerGraph 3.2, including more than 40 critical enterprise features such as new availability, scalability, manageability, and security functionalities to ensure ...

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 ...

Breaking news, years in the making. That's how we would describe today's dual announcement by graph database startup TigerGraph. TigerGraph, which came out of stealth in 2017, but has been in the ...

TigerGraph, a graph analytics platform for the enterprise, is introducing its latest release that is designed to help enterprises harness the power of the fastest and most scalable graph analytics ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

REDWOOD CITY, Calif., June 12, 2018 (GLOBE NEWSWIRE) -- TigerGraph, the world’s fastest graph analytics platform for the enterprise, today announced the free Developer Edition of its graph analytics ...