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To make AI possible, you need to create connections between vast quantities of data. That’s where tech like graph databases come into play. Graph databases handle fast-changing, interconnected data ...

The next challenge in data management is accessing data resources that are dispersed across a hybrid computing environment. Companies have invested in master data management solutions, breaking down ...

Neo4j, a popular name in the graph database field, says it is bringing its technology to the cloud as a fully managed service for small and medium enterprises, in an attempt to lure new customers with ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...

TigerGraph, a Redwood City, California-based software developer providing a suite of enterprise graph database tools, today announced that that it’s secured $32 million in series B funding led by ...

Building a dependable database management system is no easy task. You need to understand what the design trade-offs in the construction of a database management system are and also how those ...

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 ...

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, ...

Database Management System (DBMS) software acts as an interface between an end user and a database and is designed to allow users to create databases as well as store, manipulate and manage data in an ...