Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Powers cloud applications that need to manage complex and highly connected data Graph-specific use cases include master data management, recommendation & personalization, security & ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Just as the social graph emerged over the last 10 years as a valued platform for our digital lives, the next decade could signal the emergence of our personal experience graph — connected data of what ...

The updated graph database-as-a-service (DBaaS) will come with visual analytics and machine learning tools, made accessible via the TigerGraph Suite. Dubbed TigerGraph Insights, the visual analytics ...

MENLO PARK, Calif.--On the surface, Facebook's new Graph Search is touted as a new method to enable more connections between people and content worldwide. It turns out what is making all of that ...