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

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...

Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more. ZDNet: When did you start ...

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...

In the modern world of data-driven applications we are at a fascinating point at which both fully formed products and powerful components are being offered to us at a breathtaking pace. The question ...

Latest version of the leading database engine powers enterprise AI with knowledge-grounded data, LLM integration, and scalable graph performance NEW YORK, July 8, 2025 /PRNewswire/ -- Graphwise, the ...

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...

Aerospike on Tuesday took the covers off its new Graph database that can support both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) workloads. The new database, dubbed ...

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Nelson Pecora, lead developer on Newsela’s content management system team, with a visualization of Newsela content in a Dgraph database. With online learning becoming the norm, many teachers in the ...