Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

And knits a graph DB out of LinkedIn cast-offs Microsoft is extending its Fabric cloud-based data platform by including ...

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

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...

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 ...

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

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, ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

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 ...

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 ...

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

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