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InfraHub
Graph-based network source-of-truth for enterprises
Table of Contents
InfraHub - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
InfraHub overview
What is InfraHub?
InfraHub is a source-of-truth platform for network and IT infrastructure data, built on a graph-based data model that unifies devices, IPs, VLANs, circuits, and other network objects into a single, version-controlled repository. Designed for network engineers, infrastructure teams, and DevOps/NetOps practitioners, it supports both cloud-based (SaaS) and self-hosted (on-premises/open-source) deployment, making it adaptable to a range of organizational security and operational requirements. The platform targets mid-size to large enterprises in telecommunications, enterprise networking, cloud infrastructure, and managed service provider environments where infrastructure complexity demands rigorous data governance.
At its core, InfraHub applies version-control principles — branching, diffing, and merging — directly to infrastructure records, reducing configuration drift and data inconsistency across toolchains. Its flexible schema allows organizations to define and adapt custom data models without being constrained by a fixed structure, while built-in data validation and constraints enforce data integrity at the platform level. An API-first architecture exposes both REST and GraphQL interfaces, positioning InfraHub as a programmable backbone for automation pipelines and infrastructure-as-code workflows. Git integration extends this further by managing artifacts and configuration files alongside infrastructure data.
InfraHub ships with role-based access control and change management workflows to govern who can modify infrastructure records and how those changes are reviewed and applied. The platform is extensible via plugins and integrations, allowing teams to connect existing tooling without replacing established workflows. An open-source core with enterprise options gives organizations the flexibility to start with community resources and scale to supported, production-grade deployments as operational requirements grow.
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