Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in ...

New techniques make graph databases a powerful tool for grounding large language models in private data. Once you get past the chatbot hype, it’s clear that generative AI is a useful tool ...

Neo4j’s AuraDB Console supports visualization of graph data “What we are doing is we are bringing all of the graph tooling for graph analysis and graph visualization…into a single console, so ...

GRAPH functions perform library management tasks from within the DATA Step Graphics Interface. These functions can only be performed on one catalog at a time. They cannot be performed across catalogs.

New York, United States, Aug. 22, 2024 (GLOBE NEWSWIRE) -- As per the Latest Report by Straits Research, The global graph database market size was valued at USD 2.33 billion in 2023. It is ...

Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database. Aerospike got its start back in 2009, providing a NoSQL database that ...

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 ...

Graph databases, like Neo4j, excel in managing data that’s all about connections. They store information as entities and the links between them, making it easier to see how everything is related.

Data Squared (Data²), a small business dedicated to helping public and private sector organizations unlock the full potential of their data, is partnering with Neo4j, a leading graph database and ...

Unlike RDB, the graph database utilizes graphs linked by points and lines to store and manage each aspect of data, thus enabling analysis of a large volume of data in a short period of time. According ...