REDWOOD CITY, Calif., July 22, 2020 (GLOBE NEWSWIRE) -- TigerGraph, the only scalable graph database for the enterprise, today announced the company is furthering the democratization of graph ...

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 ...

REDWOOD CITY, Calif., Oct. 19, 2022 (GLOBE NEWSWIRE) -- TigerGraph, provider of the leading advanced analytics and ML platform for connected data, today announced its commitment to support openCypher, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...