SIDE-BY-SIDE COMPARISON

CompareDingovsHexagon HxGN EAM

Review features, pricing signals, strengths, and trade-offs before choosing.

Generated from current catalog profiles Catalog profile signals Use-case comparison

Quick decision guide

Choose based on your workflow

Dingo may fit better if...

  • Trakka Platform
  • Oil Analysis
  • Inspection Workflows

Hexagon HxGN EAM may fit better if...

  • Asset Records
  • Work Orders
  • Materials Module

Overview

How each tool is described

Dingo

What is DINGO?


DINGO is a predictive maintenance and asset-health platform for mining and other asset-intensive industries, centered on its Trakka software and Condition Intelligence services. Trakka consolidates equipment-condition data, applies predictive analytics, identifies developing problems, recommends maintenance actions, and tracks issues through resolution.


  1. Asset health workflow: Trakka combines data from sources including onboard sensors, machine operating data, oil and fluid analysis, vibration, thermography, visual inspections, ERP work history, and other condition-monitoring systems. Identified issues can then be prioritized, assigned corrective actions, and followed from detection through resolution.
  2. Predictive intelligence: proprietary analytics and machine-learning models help detect abnormal equipment behavior and emerging failure risks. DINGO combines these models with Condition Intelligence specialists who validate findings, interpret equipment context, prioritize recommendations, and help prescribe corrective maintenance rather than relying on automated predictions alone.
  3. Operational fit: Trakka connects with condition-monitoring systems, ERP platforms, CMMS software, and mobile or field devices. Corrective maintenance identified in Trakka can flow into existing work-order processes, while the mobile Trakka tools let technicians capture inspection data and teams review asset health away from the desktop.
  4. Commercial considerations: DINGO uses a consultation and demo-led enterprise sales process rather than publishing standard Trakka subscription tiers. Buyers should assess fleet size, equipment mix, condition-data sources, ERP/CMMS integration, implementation scope, mobile inspection requirements, and whether ongoing Condition Intelligence expert support is required.


DINGO is particularly relevant to mining and heavy-equipment operators that want condition monitoring converted into prioritized maintenance actions and tracked through resolution instead of receiving isolated equipment-health alerts.

View full Dingo profile

Hexagon HxGN EAM

What is HxGN EAM?


HxGN EAM is Hexagon’s enterprise asset management platform for asset-intensive organizations, covering asset lifecycle management, maintenance execution, materials and procurement, inspections, reliability, risk, asset performance, and long-term investment planning.


  1. Maintenance and asset operations: organizations can maintain equipment hierarchies and histories, manage work orders and preventive maintenance, control parts and stores, handle purchasing, inspections, projects, budgets, and reporting, and separate data and permissions across multiple organizations.
  2. Mobile and reliability workflows: HxGN EAM Mobile supports field access to work orders, requests, meter readings, equipment, inspections, checklists, and inventory, including offline operation with synchronization after connectivity returns. Beyond routine maintenance, HxGN EAM supports Reliability-Centered Maintenance, risk analysis, FMECA, condition-based inspections, and root-cause analysis.
  3. Asset performance and investment planning: optional advanced capabilities extend the platform beyond a conventional CMMS. Asset Investment Planning uses future budgets, equipment investment options, and capital requests to calculate optimized multi-year investment plans, while inspection and reliability functions can use asset condition, criticality, and failure information to guide maintenance decisions.
  4. Commercial and deployment considerations: HxGN EAM uses modular product access rather than a single uniform license. Hexagon separately identifies access for core EAM, Requestor, Analytics, Mobile, Connector, Barcoding, Advanced Mobile, Mobile Requestor, Lite User, and Author or Consumer reporting. Documentation also supports both SaaS and on-premises environments, so licensing, mobile requirements, integrations, and deployment architecture should be scoped with Hexagon.


HxGN EAM is most relevant to large or operationally complex organizations that need maintenance execution and materials management alongside reliability engineering, multi-organization governance, asset performance management, and longer-term capital planning.

View full Hexagon HxGN EAM profile

Side-by-side

Key differences

Criteria
Enterprise APM & ReliabilityDingo
Enterprise EAM SoftwareHexagon HxGN EAM
Best for
Enterprise APM & Reliability
Enterprise EAM Software
Score
8.1/10
8.3/10
Pricing
Contact sales
Contact sales
Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Enterprise APM & Reliability
  • condition monitoring
  • asset health
  • trakka
+2 more
AI Maintenance, CMMS & Asset Reliability Software › Enterprise EAM Software
  • asset management
  • enterprise eam
  • hexagon
+2 more

Feature check

Side-by-side feature check

Feature
Dingo
Hexagon HxGN EAM
Trakka PlatformAsset health system for heavy mobile equipment
-
Oil AnalysisLab data integration for fleet equipment
-
Inspection WorkflowsStructured inspections on mining fleet assets
-
Reliability EngineersDedicated experts review fleet equipment health
-
Failure InsightsReports on degradation and intervention planning
-
Fleet DashboardsSite wide views of mobile equipment status
-
12 capabilities compared.12 differentiating rows are shown first.

Use cases

Who they're built for

Dingo

  • Manage haul truck reliability across fleetsTrack condition and maintenance for large mining haul trucks
  • Run shovel and drill programsCoordinate inspections and reliability work on heavy mining gear
  • Combine oil analysis data with sensorsUse lab and condition data together for fleet decisions
View full Dingo profile

Hexagon HxGN EAM

  • Operate transit and rail networksRun rail bus and metro maintenance with proven EAM
  • Manage manufacturing operations across plant sitesTrack work orders inspections and reliability across plants
  • Operate oil and gas assetsCoordinate complex asset maintenance in upstream and downstream
View full Hexagon HxGN EAM profile

The trade-offs

Pros & cons of each tool

Trade-offs

Dingo

Pros
  • Specialist focus on heavy mobile mining equipment
  • Bundles dedicated reliability engineers with software platform
  • Combines oil analysis with condition data well
Cons
  • Coverage focused mainly on mining mobile equipment
  • Service model less flexible for some buyers
  • Smaller global footprint than large reliability vendors
Trade-offs

Hexagon HxGN EAM

Pros
  • Mature EAM platform with broad functional coverage
  • Strong references across transit manufacturing and energy
  • Connects with the wider Hexagon industrial portfolio
Cons
  • Heavier than basic CMMS for small teams
  • User experience can feel less modern overall
  • Implementation needs a structured program and partners

Final verdict

Best fit depends on your workflow

Catalog verdict · medium confidence

Current catalog data shows meaningful overlap between Dingo and Hexagon HxGN EAM. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Differentiators available

Dingo has 4 visible decision signals and Hexagon HxGN EAM has 4.

Score signal

Hexagon HxGN EAM has the higher SoftFinders Score in the current catalog data.

TRY THEM YOURSELF

See which one fits your workflow

Both tools have their strengths, the best way to decide is to spend a few minutes inside each.