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Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

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 ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

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, ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Graph databases and models have been around for well over a ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Rela­tional databases such as Oracle, MySQL, and SQL Server com­pletely dominated ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...