Tripl-i

Paid#4 of 41 in Application Dependency Mapping Software

Tripl-i: Hybrid discovery and service mapping for teams managing complex infrastructure. Ranked #4 of 41 in Application Dependency Mapping Software by our editors (9.1/10); pricing: Pricing on request · 30-day trial; best for hybrid infrastructure discovery and service mapping.

9.1/10★★★★★Editor score

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At a glance

• Editor score
  9.1 / 10
• Pricing
  Pricing on request · 30-day trial
• Best for
  Hybrid infrastructure discovery and service mapping
• Free plan
  No
• Discovery approach
  Hybrid
• Facts checked
  22 Sep 2026

• Where it wins

  • Combines agent-based, agentless, and hybrid infrastructure discovery
  • Continuously updates CMDB data through recurring discovery scans
  • Maps dependencies with business-service views and impact scoring

• Where it doesn't

  • Paid plans require contacting sales
  • No free plan is available
  • The platform is not open source

Our verdict on Tripl-i

Tripl-i is an AI-powered IT discovery and CMDB platform for organizations that need a current view of infrastructure, applications, services, and business impact. It supports agent-based, agentless, and hybrid discovery across servers, network devices, databases, cloud resources, and containers. Teams can use it to inventory environments, map application and service relationships, classify software and devices, and connect technical dependencies to business services.

Its strongest fit is broad hybrid-environment coverage. Tripl-i supports web, Windows, Linux, API, and self-hosted deployments, with discovery and ecosystem connections spanning WMI, SSH, SNMP, VMware vSphere, AWS EC2, Azure Resource Manager, Google Cloud Platform, and the Kubernetes API. Integrations with Xurrent, Nagios, Zabbix, Prometheus, Amazon CloudWatch, ThreatFox, and NVD extend the platform into ITSM, monitoring, security, and vulnerability workflows. Recurring discovery scans continuously update CMDB data, while business-service views and dependency impact analysis help teams assess operational relationships.

Pricing follows a contact-sales model, and there is no free plan. A 30-day trial is available without a credit card. The feature set extends beyond mapping into vulnerability, compliance, and policy management, with AI-based software and device classification included. Tripl-i should suit organizations that need hybrid discovery, service relationship mapping, continuous CMDB updates, and business-impact analysis across cloud, Kubernetes, monitoring, security, and ITSM sources. Teams seeking a free or open-source dependency mapping product, or a narrowly focused mapping tool, should consider alternatives that match those requirements.

Your product? Our editors can test Tripl-i in depth and publish a review, labelled as paid · from $149/mo →

Tripl-i pricing

Tripl-i fact sheet

Tripl-i integrations

Tripl-i lists 17 integrations on its own site.

• WMI
• SSH
• SNMP
• VMware vSphere
• AWS EC2
• Azure Resource Manager
• Google Cloud Platform
• Kubernetes API
• Xurrent
• Nagios
• Zabbix
• Prometheus
• Amazon CloudWatch
• ThreatFox
• NVD
• Microsoft Security Response Center
• LOLBAS

Alternatives to Tripl-i

• ServiceNow Service MappingA strong enterprise choice for continuously updated service maps and CMDB-connected impact analysis.9.4
• OUOpenText Universal Discovery and CMDBBroad hybrid discovery, service mapping, and impact analysis for complex enterprise environments.9.3
• FaddomA network-aware platform for continuously mapping applications, infrastructure, and dependencies.9.2

See all Tripl-i alternatives →

Tripl-i vs the competition

• Tripl-i vs ServiceNow Service Mapping
• OUTripl-i vs OpenText Universal Discovery and CMDB
• Tripl-i vs Faddom
• Tripl-i vs Mugato
• Tripl-i vs uControl uMap
• Tripl-i vs Virima Discovery and ViVID Service Mapping

Compare Tripl-i with any tool side by side →

Featured on iTechGuides

Tripl-i is listed in our Application Dependency Mapping Software directory. Add the badge to your site — it links back to this page.

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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