OpenText Universal Discovery and CMDB

At a glance

• Editor score
  9.2 / 10
• Pricing
  Pricing on request
• Best for
  Complex hybrid discovery and service mapping
• Facts checked
  20 Sep 2026

• Where it wins

  • Agent-based, agentless, and change-driven discovery
  • Multicloud discovery across four major cloud platforms
  • Service mapping with dependency and change-impact visibility

• Where it doesn't

  • Pricing requires a contact-sales process
  • Feature breadth may exceed simpler CMDB requirements
  • Enterprise deployment options require environment-specific planning

Our verdict on OpenText Universal Discovery and CMDB

OpenText Universal Discovery and CMDB is designed for enterprise IT teams that need to discover, model, and manage configuration items across on-premises, multicloud, network, endpoint, container, and virtualized environments. It combines agent-based, agentless, and change-driven discovery with service mapping, dependency visibility, software discovery, reporting, dashboards, and integrations with ITSM and ITAM platforms. Its strongest fit is a complex hybrid environment where teams need service context and change-impact analysis alongside a CMDB that can complement existing systems.

Discovery depth is the main differentiator. Advanced network discovery, dynamic software discovery with a library of more than 140,000 titles, and coverage across AWS, Azure, Google Cloud, and Oracle Cloud support broad infrastructure visibility. Service mapping and modeling add context around relationships between configuration items, while dependency and change-impact visibility can help teams understand how changes affect connected services. Configurable reports, dashboards, and widgets provide additional ways to work with the resulting data. Organizations with narrower discovery needs may find this breadth greater than necessary.

The integration footprint supports environments built around ServiceNow, BMC Helix, or Jira Service Management, along with tools such as Microsoft Intune, Jamf, Dynatrace, CyberArk, HashiCorp, and BeyondTrust. Deployment can be SaaS, public or private cloud, or on premises, giving it room to fit different operating models. According to the published pricing approach, pricing is based on the customer’s environment and deployment needs and requires contact with sales. Choose it when hybrid discovery, multicloud coverage, service mapping, and ecosystem connectivity are priorities; consider a narrower CMDB product when a simpler scope and more direct purchasing process matter more.

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OpenText Universal Discovery and CMDB pricing

OpenText Universal Discovery and CMDB fact sheet

OpenText Universal Discovery and CMDB integrations

OpenText Universal Discovery and CMDB lists 20 integrations on its own site.

• ServiceNow
• BMC Helix
• Jira Service Management
• Microsoft System Center Operations Manager
• Microsoft Intune
• Cisco Catalyst Center
• Jamf
• Infoblox
• Microsoft Configuration Manager
• NetApp
• HPE OneView
• Dynatrace
• CyberArk
• HashiCorp
• BeyondTrust
• Broadcom SiteMinder SSO
• Raynet
• Salesforce
• Microsoft Power BI
• Tableau

Alternatives to OpenText Universal Discovery and CMDB

• ServiceNow CMDBA broad, governance-focused CMDB for enterprises managing complex IT environments.9.4
• BeaverFlow CMDBA broad CMDB with clear paid tiers, service mapping, and hybrid deployment.9.0
• Happy CMDBAn open-source CMDB for teams mapping complex hybrid infrastructure.8.8

See all OpenText Universal Discovery and CMDB alternatives →

OpenText Universal Discovery and CMDB vs the competition

• OUOpenText Universal Discovery and CMDB vs ServiceNow CMDB
• OUOpenText Universal Discovery and CMDB vs BeaverFlow CMDB
• OUOpenText Universal Discovery and CMDB vs Happy CMDB
• OUOpenText Universal Discovery and CMDB vs Device42
• OUOpenText Universal Discovery and CMDB vs Ivanti Neurons CMDB
• OUOpenText Universal Discovery and CMDB vs i-doit

Compare OpenText Universal Discovery and CMDB with any tool side by side →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update