Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Polyglot persistence is becoming the norm in big data. Gone are the days when relational databases were the one store to rule them all; now the notion of using stores with data models that best align ...

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

Neo4j is renowned for its graph database technology, which is far more efficient than traditional relational databases when it comes to handling relationships between data. For example, when ...

When DataStax acquired Aurelius, a graph database startup last year, it was clear it wanted to add graph database functionality to its DataStax Enterprise product, and today it achieved that goal when ...

Interest in graph databases has exploded during the first five months of the year, as the product category threatens to lap other database types in popularity, according to figures from DB-Engines.com ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

TigerGraph, the startup that emerged last fall with a new native parallel graph database, released a free “developer edition” this week with the goal of giving potential users a test drive and a means ...

Neo Technology, the makers of the Neo4j graph database, may not be a household name, but you very likely access graph database technology on daily basis, whether you know it or not — and it’s a market ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...