Whether your use case fits within one of those domains or not, there are some other factors that you should consider that can help determine if a graph database is right for you: Many-to-many ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a ...

Graph Databases are rapidly gaining traction ... they also “reason” and therefore extend the knowledge base using inference. Why is this groundbreaking? The full set of reasons extends ...

Graph databases will graduate from powering early adopter use cases for digital communities to the mainstream of enterprise and consumer applications.” “Graph databases are rising in ...

These are databases that use graph structures for semantic queries ... that a tabular implementation cannot match. Q: Why is graph analytics considered the wave of the future in documenting ...

What Is a Graph Database? Use Cases, Benefits and More Your email ... and each node and edge can have associated properties. SEE: Why the database market keeps growing bigger and stronger.

Graph databases are a good match for applications that call for finding related documents quickly, especially when you need only a few documents at a time, and don’t need to use exact ...

Thanks to another round of funding, Neo4j is investing in how its graph database technology ... in Lisbon that we have great use cases for and there's no reason why a Portuguese bank doesn't ...

graph databases have the potential to replace the ... Add to the mix the real-time required knowledge and the complexity escalates. When using applications like Modelangelo (a tool for the ...

Graph databases are shaped the way we think, so why can't people get their heads around ... Among their more prominent use cases and users are KYC and fraud detection in banks, customer 360 ...