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

The number of graph databases available is growing, which is good news for the developer, but one thing to be aware of is that the technology is still fairly new compared to relational software ...

When compared with the typical piecemeal approach of many ... The similarities between relational databases and semantic graph databases allow for a natural evolution of user skills, which is ...

Graph databases focus on the relationships ... querying of data outside the traditional structure found in relational databases. Compared to traditional solutions, these fundamentally different ...

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 ...

This adaptability and efficiency in handling relational data make graph databases a pivotal component in modern data analytics and business intelligence strategies. Jump to: The primary function ...

While relational databases have been the backbone ... The perceived complexity of graph query languages compared to SQL poses an additional learning curve that can deter adoption.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for ...