Graph Analytics
Graph Analytics tools use graph queries and algorithms to uncover patterns, relationships, and actionable insights from connected data. The State of the Graph offers a single access point for browsing, comparing, and selecting graph analytics tools that match your needs.
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Memgraph
Diamond sponsor
Memgraph is a high-performance, in-memory graph database built for real-time AI context and graph analytics. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows, delivering sub-millisecond multi-hop traversals with full provenance for systems that need structured, connected context alongside semantic search. The same architecture powers real-time graph analytics across fraud detection, network analysis, infrastructure monitoring, and other operational use cases.
Neo4j
Diamond sponsor
Neo4j is the knowledge layer for enterprise AI. Powered by the Neo4j Graph Intelligence Platform, Neo4j connects organizational data with humans and AI systems, surfacing not just relationships, but how and why they exist. The result is AI that is accurate, explainable, and governable. Built to integrate with everything. Proven by 84 of the Fortune 100 and supported by the world’s largest graph community, Neo4j helps organizations move AI from pilot to production.
To be included, an offering has to meet three criteria:
- Analytics as a distinct offering or library: Graph algorithms are exposed as a recognizable analytics product, module, or library in their own right, not just as features buried inside a general-purpose database or platform.
- Analytics first-class: Graph algorithms are core, built-in capabilities (such as APIs, procedures, or libraries), not something users are expected to implement from scratch for every project.
- Clear deployment and backend scope: It is clear how the offering runs (for example, open source or commercial; SaaS, managed in the customer’s cloud, or self-managed) and which data backends it works with (either as a multi-backend library across multiple data sources, or as an analytics layer tightly coupled to a specific platform).
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The table summarizes these tools across key dimensions so you can quickly see where each product fits and which merit a deeper look.