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 ...

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 ...

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, ...

Over the past decade, we’ve seen a wave of diversification followed by consolidation in database technologies. Rela­tional databases such as Oracle, MySQL, and SQL Server com­pletely dominated ...

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types. Not Your Father’s Relational Database The world ...

Nearly five years ago, Amazon Web Services (AWS) launched Neptune, a service for running apps that need a graph database to store and query connected datasets. Now, to keep up with the serverless ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Graph databases are now clearly riding the upward trend ...

A graph database can help you discover connections in your data you never imagined; here’s how to get started Alaa Mahmoud is an advisory software engineer and master inventor at IBM Analytics Cloud ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of other ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...