A major challenge the Defense Department and intelligence community face is managing the massive amounts of structured and unstructured data they possess. Many contractors like MarkLogic are helping ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

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 ...

GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and it ...

Blockchain and database technologies have numerous similarities and differences, and they are often compared against each other. While both blockchain and database technologies focus on storing and ...

Data breaches and exposures have become so common these days, it's difficult to keep track of them all, much less step back to mull a solution. But, perhaps out of necessity, researchers from the ...

Bidding to keep its market-leading graph database engine out in front against new competition, Neo Technology Inc. today is unveiling an integration and visualization layer on top of its platform that ...

Salesforce.com Inc. has found a new application for artificial intelligence. Researchers from the cloud giant on Tuesday released a paper detailing the architectural details of Seq2SQL, an ...

Databases have traditionally been designed either for analytical data or for operational data. But database engine CedarDB ...

The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still require human expertise and control. In The Sorcerer’s Apprentice, Mickey Mouse ...