This delivers a better understanding of data over textual formats. The Graph Database Market and Applications. Graph databases are disrupting the billion-dollar market for the traditional Relational ...

The product category is maturing quickly and well positioned to make major inroads in the field of analytics over the next few years. There’s no denying that graphs are hot. “Graph analysis,” analyst ...

Graph analysis will push big data evolution to the next plateau of scale and sophistication. Hadoop is one segment of the evolutionary picture, but it’s not necessarily the centerpiece.

Leading research company Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025. If you’re new to graph and wondering what it can do for your ...

Graph analytics, on the other hand, excel at looking at the “big picture,” analyzing complex networks of relationships that cannot be partitioned. For example, consider risk analysis within a ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

Specializing in open-ended questions. One area where graph analytics particularly earns its stripes is in data discovery. While most of the discussion around big data has centered on how to answer ...

Graph analytics is critical to understanding and making sense of your data, in particular when combating fraud. Watch this demo and understand how to focus your investigation and focus your leads.

Register for this webinar to learn how enterprises are using a massively parallel processing (MPP) native graph database like Cambridge Semantics' AnzoGraph DB - which is built for diverse data ...

The NoSQL-style graph data technologies, often integrated by applications specialists like Esri, represent a new take on analytics that is gaining momentum.. Unlike table-based relational database ...