Cartography review
A self-hosted graph for discovering infrastructure relationships across connected platforms.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Cartography is an open-source Python tool that consolidates infrastructure assets and their relationships into a Neo4j graph database. It is designed for service owners, red teams, blue teams, and infrastructure or security teams that need a unified view of cloud, identity, security, development, and infrastructure environments. The graph helps teams explore dependencies between service assets, investigate attack paths and exposure, and identify security risks through graph queries and a web frontend.
Its ecosystem coverage is a central strength. Cartography connects to more than 30 infrastructure and software platforms, including AWS, Google Cloud Platform, Microsoft Azure, Kubernetes, GitHub, Okta, Microsoft Entra ID, CrowdStrike, and Syft. Scheduled synchronization keeps connected data sources refreshed, while APIs support automated access. Security rules add a focused way to identify attack surfaces and gaps, making the product relevant when relationship context matters as much as individual asset records.
Cartography fits teams that want an open-source, self-hosted deployment with control over their infrastructure mapping stack. Docker and native installation options support different operational preferences, but running the system still calls for ownership of deployment, Neo4j, connected data sources, and ongoing synchronization. Teams seeking a focused dependency graph and the flexibility to query infrastructure relationships should consider Cartography. Organizations looking for a conventional SaaS experience or broader service-management workflows should choose a product built around those needs instead.
Cartography pros and cons
- Where it wins
- Maps assets and relationships in a Neo4j graph
- Connects with 30+ infrastructure and software platforms
- Supports scheduled sync, APIs, web exploration, and security rules
- Where it doesn't
- Self-hosted deployment requires infrastructure management
- Neo4j is required for the relationship graph
- Focused on mapping rather than broader service-management workflows
Cartography fact sheet, pricing and score →
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