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

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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 ...

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 ...

Neo4j today took the wraps off several major improvements to its cloud-based graph database, dubbed Neo4j AuraDB, including a new GenAI-infused console, an interactive dashboard builder, a new ...

One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts. (NicoElNino/Getty Images) Spurred ...

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

Graph database fave also punts for transactional workloads Neo4j has introduced "property sharding" which, according to one ...

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 ...

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, ...

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