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 ...

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 ...

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 ...

With nearly 20 years of experience working with spatial and graph data in its flagship relational database, Oracle Corp. is taking that expertise and putting it into a new Big Data tool. Oracle Big ...

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.

I spoke with Dr. Yu Xu, CEO of TigerGraph, about why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s changing. Among the topics we covered: ...

In this article, author Srini Penchikala discusses Apache Spark GraphX library used for graph data processing and analytics. The article includes sample code for graph algorithms like PageRank ...

Dr. Da Yan, Assistant Professor, has published a survey entitled "Big Graph Analytics Platforms" in the journal Foundations and Trends® in Databases. Dr. Yan worked with collaborators Dr. Yingyi Bu ...