A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Loading and Updating the Graph: Loading graphs is not like ETL for relational databases, where data is loaded into tables with a predefined structure. Graphs can have predefined structure for ...

Graph analytics such as PageRank can be applied to data stored in any back end. Graph databases are back ends designed to accommodate graph data structures, offering specialized query languages ...

Knowledge graphs should be a data executive’s secret weapon. It’s time for you to get as smart as Amazon, Facebook, Goldman Sachs, Google and other data-driven leaders. It’s time to end the ...

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections. But graphs are also ...

For businesses with massive volumes of data and digital assets, graph databases provide a better way to make data available to users, query it, manipulate it and analyze it in real-time.

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...