Graph Databases

Glossary Page

Graph databases simplify and accelerate access to data with complex relationships. Graphs consist of nodes (entities), edges (connections), and properties (key values), making them suitable for storing and querying data with strong relationships. Unlike key-value databases, graph databases directly support connections and allow for fast access to highly interconnected data. Use cases for graph databases include social networking applications like Facebook, Twitter, or LinkedIn, recommendation engines, pattern analysis for fraud prevention and consumer behavior analysis, communication network analysis for load balancing and routing, identity and permission management, and predictive analytics.

https://www.bitkom.org/sites/default/files/file/import/140228-Big-Data-Technologien-Wissen-fuer-Entscheider.pdf external-link

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