Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

The Neo4j BI Connector enables data stored in a graph structure to be positioned alongside traditional data stored in relational or NoSQL databases for use in BI modeling.

Neo4j is the leader in graph database technology. Neo4j is a native graph database, meaning it is purpose-built from the ground up for connected data. More precisely, it exposes a property graph data ...

In its new release, Neo4j addresses key concerns for enterprise adoption. Scalability, security, management and architectural changes are here. And so is a strange feeling of deja-vu, too.

Neo4j is not yet a fully distributed graph database, even with 4.0. But with the new multiple database feature – which essentially allows users to shard a single graph database into multiple ...

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

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 ...

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...