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Enterprise graph technologies are software platforms and tools that model, store, query, and analyse highly connected data through nodes and relationships rather than traditional tabular structures. The category spans native graph databases, knowledge graph platforms, graph analytics and visualisation tools, and emerging applications in retrieval-augmented generation (GraphRAG) and agentic AI. These technologies underpin use cases including recommendation engines, master data management, supply chain mapping, knowledge management and fraud detection, where relationship-driven queries outperform relational approaches. Products range from developer-focused graph database engines to enterprise platforms with the scalability, security, and governance controls required for production deployment across regulated industries.
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