LogicMonitor vs. New Relic
LogicMonitor helps IT teams turn noisy, disconnected alerts into a unified view of what is affecting critical services across complex hybrid environments. With collector-based monitoring, automated discovery, deep infrastructure and network visibility, and Edwin AI, LogicMonitor’s agentic AIOps solution, teams can connect technology dependencies to business impact, identify root cause faster, and move toward more autonomous IT operations with guided investigation and action.
Why leading IT teams choose LogicMonitor
LogicMonitor
LogicMonitor
New Relic
See why teams choose LogicMonitor over New Relic
Trusted by IT Teams Everywhere
IT teams need more than application telemetry to keep the business running. LogicMonitor provides a complete operational view across infrastructure, cloud, networks, logs, services, workflows, and Internet dependencies in one SaaS platform. With Edwin AI, teams can reduce noise, connect alerts to business impact, and move from detection to root cause and action faster.
* As of Q3 2026
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Hear from our customers
LogicMonitor customers reduce alert noise, speed up incident response, and simplify operations across complex hybrid environments.
FAQs
Still have questions? Our team can help you compare LogicMonitor and New Relic, review your current monitoring architecture, and plan a practical path toward AI-powered hybrid observability across your infrastructure, applications, and networks.
What is the main difference between LogicMonitor and New Relic?
LogicMonitor is built for ITOps teams that own the operating layer: hybrid infrastructure, networks, cloud resources, services, dependencies, and the user impact tied to them. That operational view starts with countable resources and service relationships, so teams can see what changed, what is affected, and where to act. New Relic is centered on collecting and analyzing telemetry from instrumented applications and configured sources, including logs, metrics, traces, browser, mobile, synthetics, infrastructure, and Kubernetes. That model supports software and application performance teams, but infrastructure, network, and external dependency context depends on what has been instrumented and routed into the platform.
How does LogicMonitor support hybrid environments alongside application monitoring?
LogicMonitor uses collector-based monitoring, automated discovery, topology, network visibility, service context, and broad technology integrations to help teams manage complex hybrid environments. New Relic supports infrastructure and application monitoring through installed software agents, integrations, APIs, Kubernetes components, and OpenTelemetry pipelines.
How does LogicMonitor’s AI approach compare with New Relic AI?
LogicMonitor uses Edwin AI to connect alerts with topology, dependencies, service impact, predictive insights, and guided remediation across hybrid infrastructure and operations workflows. New Relic AI helps teams query, summarize, and investigate telemetry already collected in New Relic, including incident context, likely root cause, and recommended next steps for instrumented services.
How do the integration models compare?
LogicMonitor provides more than 3,000 monitoring integrations and modules across devices, cloud services, databases, applications, and infrastructure technologies. New Relic publicly lists more than 780 integrations across applications, infrastructure, cloud services, Kubernetes, developer tools, and operational platforms.
How does pricing and data retention compare?
LogicMonitor’s Hybrid Unit model maps monitoring coverage to defined resource types across hybrid environments, with retention and packaging determined by the selected plan. New Relic combines data ingest with user or compute pricing, with costs varying by telemetry volume, retention, user types, advanced capabilities, and synthetic usage. A customer-specific model should be used for an accurate comparison.
Predictable coverage that scales with your hybrid environment
LogicMonitor’s Hybrid Unit model helps teams plan monitoring coverage around the hybrid resources they manage. Teams can start with the visibility they need today and expand into broader integrations, network visibility, topology, service context, and Edwin AI—building toward more autonomous IT operations as their environment grows.
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