Neo has the critical mass necessary to attract big ... graph database engine, called SPARQLverse, as part of its Hadoop-based analytics stack. This allows customers to run SPARQLverse’s in-memory ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Social networks transformed the Internet into a complex web of relationships; social graph analysis offers ... Download InfoWorld’s Big Data Analytics Deep Dive for a comprehensive, practical ...

Part I of our series on graph analytics introduced ... The easy on-boarding of new data is particularly important when dealing with Big Data. Traditional analytics focus on finding answers to ...

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.

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 ... multi-user ...

The new offering is meant to bring the powerful capabilities of graph analytics ... data source, built on a deeper understanding of how everything connects.” The company makes some big claims ...

Graph and big data analytics technologies make a powerful combination. Such technology can provide support for data science queries, graph analytics, window functions, percentile calculations ...

Graph analytics, a subset of analytical solutions encompassing big data analytics, advanced analytics, and AI, plays a pivotal role in deciphering relationships and patterns within data sets.

How graph analytics provides financial institutions with visibility into the data landscape enables digital banks to predict or rapidly analyze issues that may cause serious disruption to banking ...