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

Latest webinars

Latest articles

Blog Post Cover

T-Systems is now Catena-X-certified for Traceability use case

T-Systems’ Connect & Integrate solution is now officially Catena-X-certified for the Traceability use case under the latest Saturn release. This certification expands T-Systems’ growing portfolio of Catena-X capabilities and reinforces its role in enabling secure, interoperable data exchange across automotive supply chains. By supporting traceability, quality processes, and collaboration through standardized dataspaces, T-Systems helps companies gain transparency across complex value chains, improve compliance, and respond faster to supply chain disruptions while maintaining full data sovereignty within the Catena-X ecosystem.

Read more

external-link
Author image

Andrea Garcia

Mar 09, 2026

Blog Post Cover

T-Systems and German Edge Cloud join forces

T‑Systems and German Edge Cloud are joining forces to deliver integrated, ready‑to‑use digital solutions for industrial data ecosystems such as Catena‑X. By combining T‑Systems’ expertise in integration and connectivity with German Edge Cloud’s ONCITE Industrial SaaS solution, the partnership enables scalable applications for traceability and Industrial AI, provided via the Telekom Cloud. This collaboration helps manufacturing companies implement use cases quickly, achieve seamless integrations, and generate measurable value across the entire supply chain. The goal is to build open, interoperable digital ecosystems that accelerate and sustain digital transformation in the manufacturing industry.

Read more

external-link
Author image

Sven Löffler

Feb 26, 2026

Blog Post Cover

End-to-end solution for carbon footprint in the supply chain

T‑Systems and IPOINT have launched an end‑to‑end solution that enables automotive manufacturers and suppliers to track product carbon footprints across global supply chains. By combining IPOINT’s sustainability software with T‑Systems’ access to the Catena‑X data ecosystem, the solution supports transparent emissions reporting in line with EU CSRD requirements and provides actionable insights for reducing environmental impact.

Read more

external-link
Author image

Sven Löffler

Feb 25, 2026