Like other NoSQL databases, a graph database is schema-less. Thus, in terms of performance and flexibility, graph databases hew closer to document databases or key-value stores than they do ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

Graph databases have been around in one form or another since the early oughts, but they were generally slower, more complex to work with, and more limited in terms of their applicability than ...

With a graph database, more complex the queries just mean walking through more edges, which takes more time and more resources, to be sure, but it is a lot less. And, you can actually get an answer – ...

Graph databases are all around us, but more often than not are hiding in plain sight. A good example is the Microsoft Graph, which Microsoft characterizes as "the gateway to data and intelligence ...

While graph databases can support transactional data with ACID guarantees, data warehouse systems and offline analytical workloads can also be moved into a real-time environment using graph database.

Learn More Graph databases are playing a growing role in improving fraud detection, recommendation engines, lead prioritization, digital twins and old-fashioned analytics.

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...

Aerospike this week rolled out new graph database offering that leverages open source components, including the TinkerPop graph engine and the Gremlin graph query language. The NoSQL company foresees ...

TigerGraph may have done just that for graph databases. Written by George Anadiotis, Contributor Sept. 19, 2017, 5:42 a.m. PT TigerGraph is a new and impressive entry in the graph database world ...