Organizations are attracted to graph databases to meet big and complex data challenges that traditional databases such as relational and NoSQL are not capable of conquering.

Although databases that focus on the relational aspect of data analytics abound, few are as effective at revealing the hidden valuable insights as a graph database.

While graph databases store data as nodes and edges, relational databases store data in tables of rows and columns joined to other tables via key columns, Selz explained. “Where the data model is ...

Bitnine is a dedicated graph database solution company which provides the technological basis for swift analysis and visualization of multi-sourced data with its graph database solution ‘AgensGraph.’ ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. Newsletters Games Share a News Tip Featured ...

In graphs, keyword search techniques unravel interconnected data points, often representing relationships in social networks, bibliographic databases or web documents.

For example, graph databases – a type of NoSQL database – are increasingly seen as essential to the modern mix of databases that organisations need to address their data needs.

Global Graph Database Market Global Graph Database Market Dublin, Dec. 13, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Database Market by Model Type (RDF, LPG, Hypergraph), Offering (Solutions ...

The NoSQL Database Management Systems market is set to continue steady growth in 2025, driven by rising enterprise data volumes and increased investment in artificial intelligence. Traditional ...

The graph below shows the total number of publications each year in Keyword Search in Graphs and Relational Databases. References [1] An Efficient Keywords Search in Temporal Social Networks .