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Cybersecurity Information SecurityTop 10 Best Traceroute Software of 2026
Ranked top 10 traceroute software tools by network visibility and features, including PRTG and LogicMonitor, for infrastructure buyers.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Dotcom-Monitor Traceroute is the right pick if SRE and network teams need recurring hop-by-hop evidence to prove routing regressions, whereas ThousandEyes fits better for enterprises that want continuous, correlated diagnostics across many sites and clouds.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Dotcom-Monitor Traceroute
Scheduling and storing repeated traceroute runs for hop-to-hop comparisons during recurring incidents.
Built for fits when network and SRE teams need recurring hop-by-hop evidence for routing regressions..
PingPlotter
Editor pickTime-series hop charts show latency and packet loss behavior over long sessions, not just single traceroute results.
Built for fits when teams need continuous hop visibility for WAN and incident troubleshooting..
ThousandEyes
Editor pickCross-domain correlation connects network path changes to browser and DNS telemetry in the same investigation timeline.
Built for fits when enterprises need continuous, correlated hop-level diagnostics across many sites and clouds..
Comparison Table
Dotcom-Monitor Traceroute
SMBWeb-based traceroute utility from a synthetic monitoring vendor for internet path and hop analysis.
Scheduling and storing repeated traceroute runs for hop-to-hop comparisons during recurring incidents.
Dotcom-Monitor Traceroute is built for recurring path analysis, where the same destinations can be probed on a schedule and compared against prior runs. Each tracerun returns hop-level output that teams can use to narrow where latency or reachability problems emerge along the route. Reverse DNS resolution is included in the hop output to make results easier to interpret during incident response.
A key tradeoff is that traceroute-style measurements are sensitive to device and network behavior such as ICMP rate limiting, which can make hop lists less stable on some paths. It fits best when network teams need repeatable evidence for where latency or loss starts rather than a one-off interactive trace during a single debugging session.
- +Hop-level timing output supports quicker localization of where delays begin
- +Scheduled traceroute runs support ongoing path comparison during regressions
- +Reverse DNS names in hop output reduce interpretation time during triage
- +Results can be exported for sharing in change and incident reviews
- –ICMP rate limiting can reduce hop completeness on some networks
- –Deep multi-probe troubleshooting often requires multiple traceruns with different target parameters
SRE incident responders
Trace latency spikes across hops
Faster blast-radius narrowing
Network operations teams
Validate route changes after deployments
Earlier detection of asymmetry
Show 2 more scenarios
Cloud and hybrid engineers
Track IPv6 path behavior changes
More reliable troubleshooting
Use traceroute runs to spot reachability and timing differences for IPv6 targets over time.
Service owners and NOC
Monitor path availability for key endpoints
Clearer outage attribution
Track hop responsiveness toward critical destinations to correlate outages with network path issues.
Best for: Fits when network and SRE teams need recurring hop-by-hop evidence for routing regressions.
PingPlotter
SMBContinuous traceroute graphing tool for latency and packet loss.
Time-series hop charts show latency and packet loss behavior over long sessions, not just single traceroute results.
PingPlotter combines traceroute-style hop results with time-based charts that track latency and packet loss as the path changes during ongoing monitoring. Each hop is presented with counters and latency samples so affected segments are easier to isolate than with single-shot outputs. The UI supports repeated runs against the same target so changes in hop behavior are easy to compare across attempts. Reverse DNS resolution can add operator-friendly naming, but it can also introduce delays when DNS responses are slow.
A key tradeoff is that PingPlotter is optimized for measurement and visualization inside its session workflow, not for exporting complex topology models into an automation platform. It fits environments where continuous path observation is needed for helpdesk escalation, WAN fault triage, or performance verification after routing changes. It can also be used as an active diagnostic tool during outages when ICMP probing is allowed and network devices respond consistently.
- +Continuous charts make intermittent loss patterns visible across time
- +Per-hop statistics narrow blame to specific segments quickly
- +Repeat runs against the same target simplify before and after comparisons
- +Reverse DNS option improves readability during incident collaboration
- –Primarily session-based, not a deep automation-first traceroute engine
- –DNS reverse lookups can slow hop rendering on constrained resolvers
- –Accuracy depends on consistent probe handling along each hop
- –Built-in workflows focus on ICMP-style measurement rather than device-level interrogation
NOC engineers
Monitor WAN path quality during incidents
Faster escalation to the right team
Network performance analysts
Verify routing change impact hop-by-hop
Clear evidence for performance regressions
Show 1 more scenario
IT operations triage teams
Debug user complaints with trace charts
Reduced back-and-forth troubleshooting
Use per-hop stats and charts to correlate complaint timing with loss spikes on the path.
Best for: Fits when teams need continuous hop visibility for WAN and incident troubleshooting.
ThousandEyes
enterpriseCisco-owned network intelligence platform with agent-based path visualization.
Cross-domain correlation connects network path changes to browser and DNS telemetry in the same investigation timeline.
ThousandEyes runs distributed agents in networks such as enterprise sites, cloud regions, and ISP vantage points, which gives hop-by-hop path visibility beyond a single traceroute source. Path analysis is driven by scheduled tests and live monitoring, so hop patterns can be compared across time without manually rerunning commands. The platform also correlates network observations to DNS and application performance signals, which helps reduce the time to identify whether a path change is responsible for user impact.
A tradeoff is that hop-level results depend on agent placement, so incomplete coverage can miss asymmetry or transient routing paths. It fits situations where continuous path monitoring is needed to catch routing churn between transit providers or SD-WAN overlays, not only point-in-time troubleshooting.
- +Agent-based path monitoring links hop outcomes to application impact signals
- +Time-based comparisons reveal transient network issues without manual reruns
- +Routing and DNS correlations reduce guesswork during incident investigation
- +Multiple vantage points improve detection of asymmetric paths
- –Hop visibility quality depends on agent placement coverage
- –Setup and ongoing configuration requires governance across locations
- –Deep troubleshooting can be slower than command-line traceroute for quick checks
Network operations teams
Investigate hop loss during incidents
Faster root-cause confirmation
SD-WAN operations teams
Validate overlay path health
Earlier detection of path issues
Show 1 more scenario
Application reliability teams
Prove network impact on users
Clear incident attribution
Tie browser experience changes to hop outcomes to distinguish client issues from network path changes.
Best for: Fits when enterprises need continuous, correlated hop-level diagnostics across many sites and clouds.
SolarWinds Engineer's Toolset
enterpriseNetwork troubleshooting suite including traceroute utilities.
Traceroute runs as part of Engineer's Toolset's guided troubleshooting workflow alongside other network utilities.
SolarWinds Engineer's Toolset adds traceroute to a broader troubleshooting toolkit used for host and network reachability checks. Its traceroute workflows emphasize quick interpretation of hop-by-hop behavior while keeping test steps close to other utilities in the same console.
The toolset also supports scripted use via its automation options, which helps standardize repeated path checks during investigations. Engineer's Toolset fits teams that already use SolarWinds tooling and need traceroute-style diagnostics as part of a controlled operational workflow.
- +Traceroute execution sits inside a wider troubleshooting utility set
- +Hop-by-hop output supports fast comparisons across repeated checks
- +Automation support enables repeatable path diagnostics during incidents
- +Works well when traceroute tests complement other reachability tests
- –Standalone traceroute depth is weaker than dedicated network path analysis platforms
- –Advanced correlation with routing context requires additional SolarWinds components
- –Multi-probe testing modes are less configurable than specialized diagnostics tools
- –Large-scale continuous monitoring needs separate monitoring infrastructure
Best for: Fits when engineers need traceroute diagnostics inside an operational toolkit for incident triage.
ManageEngine OpManager
enterpriseNetwork management platform offering traceroute for fault isolation.
OpManager ties traceroute-style path results into its monitoring event workflows for correlated troubleshooting.
ManageEngine OpManager performs hop-by-hop network path diagnostics by using traceroute-style probing to show where latency and reachability change along a route. The product layers path visibility into its broader network monitoring workflows, including fault context around link and device performance, which helps correlate path shifts with network events.
OpManager also supports automation through scripting, scheduled tasks, and integration options that let traceroute runs feed recurring investigations. Administration tooling includes role-based access and audit logging for monitoring activities, which matters when multiple teams operate monitoring and diagnostics.
- +Traceroute results integrate into existing OpManager monitoring context for faster incident triage
- +Scheduled path diagnostics support recurring investigations without manual re-runs
- +Role-based access and audit logging support controlled diagnostic workflows
- +Automation options allow traceroute actions to run as part of operational scripts
- –Traceroute scheduling and targeting require careful configuration to avoid noisy results
- –Hop-level interpretation can take practice when network devices implement ICMP rate limiting
Best for: Fits when network operations teams need recurring traceroute-style diagnostics tied to monitoring events.
Nagios XI
enterpriseMonitoring server with plugins for traceroute path checks.
Event-driven traceroute checks link hop-level failures to Nagios XI services and notify through the same monitoring pipeline.
Nagios XI provides a monitoring-centered way to run traceroute as scheduled checks and to track results in the same operational context as other services.
Traceroute probing typically relies on configuring check definitions and parsing command output so teams can map hops to states that trigger notifications.
The extensibility approach supports custom probe logic and result formatting when default outputs do not match required troubleshooting artifacts.
- +Traceroute checks integrate with Nagios XI alerting and event history
- +Scheduling supports continuous path checks instead of ad hoc troubleshooting
- +Extensible check scripts enable custom hop probing and parsing
- +Status views help connect traceroute symptoms to monitored hosts
- –Hop-level output parsing requires scripting for most tailored reporting
- –Traceroute-specific workflows depend on check design and maintenance discipline
- –Built-in visualization is limited compared with dedicated network path analytics
- –Large-scale hop probing can increase check volume and monitoring noise
Best for: Fits when teams want traceroute results tied to alerts and host inventory workflows.
Datadog Network Performance Monitoring
enterpriseCloud-native path analysis covering traceroute-style flow data.
Continuous path monitoring that merges hop observations with service-level context for trace-to-path incident workflows.
Datadog Network Performance Monitoring focuses on path visibility built from agent-based telemetry rather than on-demand manual traceroute sessions. It correlates hop-level observations with service context in the same interface, which helps network path analysis tie back to impacted applications and dependencies. Continuous monitoring patterns support latency jitter measurement and packet loss per hop trending across time so path regressions are easier to spot during incidents.
- +Hop-level network path analysis is integrated with application traces for context
- +Agent-based measurements enable continuous path monitoring instead of one-off probes
- +Automation via APIs supports fleet-wide configuration of monitoring behavior
- +Correlation to service dependencies speeds triage of latency-related incidents
- –Traceroute-style diagnostics depend on installed agents and network access scope
- –ICMP rate limiting behavior can reduce fidelity for hop timing on some paths
- –Reverse DNS resolution and name enrichment can add overhead when enabled broadly
- –Deep route asymmetry detection can require careful interpretation of correlated signals
Best for: Fits when teams need continuous hop visibility tied to traced services for faster network incident triage.
Catchpoint
enterpriseDigital experience monitoring platform with global traceroute and network path visibility from distributed probes.
Path hop telemetry integrated into continuous service monitoring so routing changes surface alongside application impact signals.
Catchpoint focuses on continuous network performance measurement and uses traceroute-style path probing inside its broader synthetic and monitoring workflows. It correlates path hop changes with service symptoms by combining hop visibility with application and SLA style monitoring signals.
The traceroute workflow is designed to run at scale so teams can track routing changes over time rather than only collecting a single snapshot. Governance is supported through account-level controls and audit-oriented operational settings that fit multi-team monitoring operations.
- +Correlates hop path changes with service and synthetic monitoring outcomes
- +Supports continuous path monitoring across recurring probes instead of ad hoc tests
- +Integrates traceroute-style visibility into incident and SLA workflows
- +Handles large target sets with consistent probe scheduling
- –Traceroute hop detail is not the primary UI focus compared with service monitoring views
- –Advanced probe tuning requires careful configuration discipline
- –Deep per-hop packet semantics can be limited versus specialized packet tools
- –Troubleshooting workflows depend on how datasets are organized in the broader system
Best for: Fits when network teams need hop visibility tied to service monitoring workflows and sustained change tracking.
GlassWire
SMBDesktop network monitoring software that includes visual traceroute for endpoint-level path inspection.
Hop-by-hop path checks displayed in the same workflow as per-process connection activity on the monitored host.
GlassWire runs an on-host network monitor that shows which processes send and receive traffic, then correlates that activity with path changes as connections are created. For traceroute-style analysis, GlassWire can perform hop-by-hop path checks to remote destinations and present the results alongside traffic events on the same machine.
The monitoring context is tied to endpoint process identity rather than a dedicated network probe, which changes how path findings are interpreted. This makes GlassWire most useful for diagnosing reachability symptoms that show up in local connection attempts.
- +Endpoint-process context links traceroute findings to the owning application
- +Visual timelines make it easier to correlate route changes with connection attempts
- +Works from the same machine where problematic traffic is observed
- +Built-in alerts help catch path or reachability regressions during normal use
- –Traceroute coverage depends on endpoint permissions and local network visibility
- –Limited suitability for multi-site hop monitoring compared with dedicated probes
- –Does not provide a facility for SD-WAN wide-path diagnostics across many links
- –Fewer automation and API surfaces for external systems than probe-centric tools
Best for: Fits when troubleshooting is driven by endpoint symptoms and process-level context matters most.
Open Visual Traceroute
API-firstOpen source visual traceroute application with route mapping and packet path visualization.
Interactive graph rendering of hop sequence with per-hop resolution displayed in the same view.
Open Visual Traceroute turns hop-by-hop probing into an interactive visual workflow for network path analysis. The tool runs traceroute probes and renders results with a graph-style view that makes per-hop resolution and sequencing easier to scan.
It also supports repeated measurements so path changes show up across runs. Deployment is self-hosted on the client side, which keeps data handling under local control.
- +Graph-style hop visualization improves quick reading of traceroute results
- +Repeat measurement workflow helps identify path changes across runs
- +Local execution model keeps probe targets and outputs on the operator side
- +Reverse DNS display per hop reduces manual lookup steps
- –No documented API for automation and ticketing-style integrations
- –Limited governance controls compared with enterprise monitoring suites
- –IPv6 behavior coverage is inconsistent across environments
- –Throughput and scheduling features are basic for large target sets
Best for: Fits when a small team needs visual traceroute runs and hop-by-hop readability without monitoring-system integration.
Conclusion
After evaluating 10 cybersecurity information security, Dotcom-Monitor Traceroute stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right traceroute software
This buyer's guide compares traceroute software used to generate hop-by-hop latency evidence during incidents and routing changes, with practical options ranging from Dotcom-Monitor Traceroute to Open Visual Traceroute. The tool coverage includes PingPlotter for long-running hop time-series visibility and ThousandEyes for agent-based hop monitoring tied to application telemetry.
Teams evaluating traceroute software usually need more than a single command output. This guide grounds selection in how tools handle scheduled traceroute runs, continuous hop monitoring, and integration surfaces that connect hop results to alerts, event history, or other monitoring signals across environments.
Traceroute software for automated hop-by-hop network path diagnosis
Traceroute software runs probe sequences that record hop-by-hop results, then presents timing and reachability per hop so routing regressions can be localized. Dotcom-Monitor Traceroute focuses on scheduling and storing repeated traceroute runs for hop-to-hop comparisons during recurring incidents.
Other products emphasize different operational workflows for the same hop outcomes. PingPlotter provides time-series hop charts that reveal latency and packet loss behavior across long sessions, while ThousandEyes ties agent-based hop monitoring to correlated telemetry so path changes can be inspected inside a unified investigation timeline.
Traceroute software features that change incident outcomes
Traceroute software stops being a one-off diagnostic tool when it can schedule repeated runs and preserve hop-to-hop results for comparison, not just a single output snapshot. Dotcom-Monitor Traceroute adds scheduling and storage for repeated traceroute runs so hop-level timing evidence can be compared during recurring incidents.
Scheduled traceroute runs with hop-to-hop comparisons
Dotcom-Monitor Traceroute schedules repeated traceroute runs and stores hop-level timing output so routing regressions can be localized across recurring incidents. ManageEngine OpManager also supports scheduled path diagnostics tied to its monitoring workflows for repeated investigations.
Continuous hop visibility over long sessions
PingPlotter renders time-series hop charts that show latency and packet loss behavior across long sessions rather than only one traceroute result. Nagios XI links event-driven traceroute checks to alerting and event history so hop failures can be tracked through the same monitoring pipeline.
Agent-based hop monitoring and cross-domain correlation
ThousandEyes uses agent-based path monitoring and connects hop outcomes to browser and DNS telemetry in the same investigation timeline. Datadog Network Performance Monitoring merges hop observations with service-level context so traceroute-style path analysis is tied to trace-to-path incident workflows.
Integration depth inside existing troubleshooting and operations toolchains
SolarWinds Engineer's Toolset runs traceroute inside a guided troubleshooting workflow alongside other network utilities so hop-by-hop output can be compared across repeated checks. GlassWire runs hop-by-hop path checks inside the same workflow as per-process connection activity on the monitored endpoint to connect route changes to application behavior.
Automation surface and governance controls for multi-site monitoring
ThousandEyes depends on agent placement coverage, which creates governance needs across locations when hop visibility quality must be consistent. Open Visual Traceroute has interactive graph rendering but lacks a documented API for automation and ticketing integrations, which limits governance and workflow automation.
How to choose traceroute software for the way incidents are handled
The best selection path starts with the operational workflow that will consume hop evidence. Teams that need repeated hop proof during recurring routing issues should prioritize scheduled runs and stored hop results, while teams that need continuous visibility over time should prioritize time-series hop charts or continuous path monitoring tied to telemetry.
Choose scheduled hop evidence when routing regressions recur
If incident response repeats the same hop analysis after configuration changes or deploy cycles, Dotcom-Monitor Traceroute provides scheduling plus storage for repeated traceroute runs with hop-to-hop comparisons. If routing evidence must land inside existing monitoring event workflows, ManageEngine OpManager ties traceroute-style path results to monitoring context with scheduled path diagnostics.
Choose continuous session views when losses and latency vary over time
For long-running WAN troubleshooting where loss appears intermittently, PingPlotter uses time-series hop charts to reveal latency and packet loss patterns across extended sessions. For alert-driven incident workflows, Nagios XI uses event-driven traceroute checks and connects hop-level failures to Nagios XI services and alert history.
Choose correlated path-to-app workflows when hop changes must map to impact
When hop outcomes must be explained with application-adjacent signals, ThousandEyes correlates agent-based hop monitoring with browser and DNS telemetry in the same investigation timeline. When hop diagnostics must accompany traces for trace-to-path incident workflows, Datadog Network Performance Monitoring merges hop observations with service-level context using agent-based measurements.
Choose guided troubleshooting toolkits for engineers who work in a multi-utility workflow
If traceroute is one step in a broader incident triage sequence, SolarWinds Engineer's Toolset keeps traceroute inside a guided troubleshooting workflow alongside other network utilities. If endpoint-local symptoms and per-process behavior are the entry point, GlassWire runs hop-by-hop path checks in the same workflow as per-process connection activity on the monitored host.
Choose governance-friendly deployment when visibility coverage is part of the reliability model
If consistent path measurements across locations are required, ThousandEyes agent placement coverage becomes a governance decision because hop visibility quality depends on where agents are deployed. If automation, ticketing integration, and governance controls are required at scale, Open Visual Traceroute is limited by the lack of a documented API for automation integrations.
Who traceroute software should serve
Traceroute software fits best when hop evidence must be produced repeatedly and interpreted in the context of monitoring signals. The strongest outcomes come from aligning tool behavior with how incidents are investigated, whether that means stored run comparisons, continuous hop charts, or correlated telemetry inside one investigation view.
Network and SRE teams handling recurring routing regressions
Dotcom-Monitor Traceroute is built around scheduling and storing repeated traceroute runs so hop-level timing output can be compared during recurring incidents.
Operations teams running alert-driven incident response
Nagios XI ties traceroute checks to services, event history, and notification flows so hop-level failures can trigger work through the same pipeline.
Enterprise teams needing correlated hop diagnostics across many sites and clouds
ThousandEyes links agent-based hop monitoring to browser and DNS telemetry so path changes can be analyzed alongside application-adjacent signals.
Security and endpoint-focused teams investigating connection symptoms
GlassWire connects hop-by-hop path checks with per-process connection activity on the monitored host so route changes can be related to endpoint behavior.
Platform and monitoring teams standardizing continuous path monitoring alongside service telemetry
Datadog Network Performance Monitoring merges hop observations with service-level context for trace-to-path workflows using agent-based measurements.
Common traceroute software buying pitfalls
A frequent mistake is selecting a tool that provides a readable traceroute output but does not preserve repeated results for comparison during recurring incidents. That choice leads to manual reruns and inconsistent evidence when the same problem returns after configuration changes.
Relying on a single-run workflow when incidents require hop evidence over time
PingPlotter addresses this by providing time-series hop charts for latency and packet loss behavior across long sessions, while Dotcom-Monitor Traceroute addresses it by scheduling and storing repeated runs for hop-to-hop comparisons.
Assuming hop correlation will work the same way without defined telemetry coverage
ThousandEyes hop visibility quality depends on agent placement coverage, so correlated hop-to-application explanations fail when agent coverage is sparse. Datadog Network Performance Monitoring also depends on installed agents and network access scope for continuous hop diagnostics.
Choosing interactive visualization for automated operations workflows
Open Visual Traceroute improves hop readability through interactive graph rendering, but it lacks a documented API for automation and ticketing-style integrations. That limitation forces manual copy-and-paste workflows for teams that need audit trails and automated handoffs.
Ignoring ICMP rate limiting impact on hop completeness
Dotcom-Monitor Traceroute and Datadog Network Performance Monitoring both note that ICMP rate limiting can reduce hop completeness for some networks, which can make missing hops look like routing changes. Adjusting probe parameters and validating interpretation prevents incorrect conclusions.
How We Selected and Ranked These Tools
We evaluated traceroute software on feature depth for producing hop evidence and maintaining that evidence across time, and on operational ease for running and interpreting hop results. Features account for 40% of the score, and ease and value each account for 30% of the score.
Dotcom-Monitor Traceroute separated from the pack with scheduling and storing repeated traceroute runs for hop-to-hop comparisons during recurring incidents, which directly matches how regression investigations repeat the same evidence. Tools like PingPlotter and Nagios XI were weighted higher when their session-based charts or event-driven checks tied hop outcomes to workflows over time, while interactive tools like Open Visual Traceroute were limited by missing API-driven automation for operations integration.
Frequently Asked Questions About traceroute software
How does Dotcom-Monitor Traceroute help teams compare hop-by-hop path changes over time?
When does PingPlotter’s continuous hop probing provide an advantage over one-off traceroute sessions?
How does ThousandEyes connect traceroute-style hop observations with application impact signals?
Which SolarWinds Engineer’s Toolset workflow fits teams that want traceroute alongside other troubleshooting utilities?
What does ManageEngine OpManager change in traceroute results when it ties them to monitoring events?
How does Nagios XI handle traceroute when alerting and host inventory workflows must stay consistent?
What breaks if Datadog Network Performance Monitoring is used for on-demand manual traceroute instead of continuous telemetry workflows?
When does Catchpoint’s scale-oriented traceroute-style probing matter for routing change tracking?
How does GlassWire interpret hop-by-hop path checks compared with tools that run dedicated network probes?
Where does Open Visual Traceroute fall short when an organization needs centralized monitoring governance and audit logs?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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