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 ...

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 ...

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 ...

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 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 ...

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 ...

REDWOOD CITY, Calif., March 04, 2025 (GLOBE NEWSWIRE) -- TigerGraph, the enterprise AI infrastructure and graph database leader, today announced its next generation graph and vector hybrid search ...

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 ...

TigerGraph, provider of a graph analytics platform for the enterprise, has announced the free Developer Edition of its graph analytics platform for lifetime non-commercial use. TigerGraph offers ...