To make AI possible, you need to create connections between vast quantities of data. That’s where tech like graph databases come into play. Graph databases handle fast-changing, interconnected data ...

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A lot has happened in graph land in the last six months. Quick recap: a new player (TigerGraph), Microsoft ramping up its graph play with graph support in SQL Server and CosmosDB, and the number two ...

The timing of Facebook's Graph Search announcement yesterday was fortuitous for this blogger since I have been exploring open source graph databases such as Neo4j as of late. Neo4j is not the ...

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...

Graph database maker Neo4j Inc. said today it has raised an $80 million late-stage funding round, doubling the company’s total venture capital investment to $160 million and making it the best-funded ...

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph databases — also known as graph-oriented databases — use graph ...

Graph database maker Neo4j Inc. today launched Infinigraph, calling it a significant advancement in distributed graph technology. The company said the architecture allows users to run both operational ...

COMPANY NEWS: CIOs and CDOs gain centralised visibility and governance across all Neo4j deployments across any environment: cloud, hybrid, and on-premises Neo4j, the world’s leading graph intelligence ...