Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database management system uniquely structured to manage complex and ...

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 ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Neo4j on Thursday launched Infinigraph, a new architecture that enables the vendor's graph database to run operational and analytical workloads together in one system without suffering performance ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Graph technology specialist Neo4j is expanding beyond fraud detection to offer an end-to-end suite for discovering, ...

It’s estimated that 173 zettabytes of digital data were created in 2025—that’s nearly half a zettabyte or about 474 million terabytes every day, according to the DesignRush website. That number is ...

Every time a new user signs up for a streaming platform or opens a shopping app for the first time, the algorithms behind the ...