Big data in action: Using graph databases to drive new customer insights Marketing company Quander is using graph database technology from Neo4j to help its customers make better decisions.

June 29, 2020 – Nebula Graph is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing ...

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 ...

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, ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database ...

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

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.

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.

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.

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases , and how appropriate NoSQL databases facilitate Big Data analytics.