That capability allows the Franz graph database to link structured RDF data to data within JSON documents. The company said that feature allows users to perform graph analytics across databases, ...

If you’re serious about graph analysis, you’re going to need to ramp up all three big data Vs — volume, velocity, and variety — to do it effectively.

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Property graphs are a form of graph that some popular tools use to manage graph data. The W3C’s Resource Description Framework (RDF), which forms the basis of the Semantic Web, is a technology for ...

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data.

Now, others are joining the choir. Now some of the major players are announcing products in the graph space. Oracle now has a graph database, as do Amazon, Microsoft, and SAP.

In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.

Part 2 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the database system space including Cockroach Labs, MongoDB, MariaDB and Redis Labs.

Processing extremely large graphs has been and remains a challenge, but recent advances in Big Data technologies have made this task more practical. Tapad, a startup based in NYC focused on cross-devi ...