Best CMMS Software by Feature
Not every CMMS excels at everything. We break down the top 3 platforms for each key feature category โ so you can choose based on what matters most to your organisation.
The only platform in the ANZ market that makes 3D digital twin the primary interface โ not an add-on. LIDAR scanning creates photorealistic facility environments. The time-slider lets executives literally "slide" through time to see how assets have degraded. Built for boards, not just maintenance teams.
- โ Native LIDAR & photogrammetry scanning
- โ Time-based comparison โ unique in the market
- โ Portfolio navigation across unlimited facilities
- โ Requires initial site scanning mobilisation
Maximo offers 3D capability through its Inspection and Visual Inspection AI modules, plus third-party integrations (e.g. Bentley iTwin). Powerful at enterprise scale but requires significant integration effort and licensing cost. Not native โ more of a connected ecosystem.
- โ Visual Inspection AI with image recognition
- โ Integrates with Bentley iTwin platform
- โ Not native โ third-party integration required
- โ Significant additional cost & complexity
Hexagon's broader product suite includes 3D GIS and spatial intelligence tools that can be integrated with HxGN EAM. Most applicable to linear assets (pipelines, roads). Requires significant configuration and is not available out of the box for facilities-focused use cases.
- โ Hexagon ecosystem includes GIS & spatial tools
- โ Strong for linear asset visualisation
- โ Not available natively โ specialist setup needed
- โ Best for heavy industrial, not facilities
AssetStack's visual register anchors every asset to a location within its 3D digital twin โ giving teams spatial context that no tabular system can match. Assets are live, not static: condition updates, defect tags, and maintenance records update in real time against the 3D model. Ideal for organisations that need to communicate asset condition visually to non-technical stakeholders.
- โ Spatially-anchored live register โ assets in 3D context
- โ Condition-led โ register updates from field inspections
- โ Portfolio-wide โ compare assets across facilities
- โ Initial data migration requires planning
Maximo's asset register is battle-tested across the world's largest industrial operations. Deep hierarchical structures, full lifecycle tracking, and excellent ERP integration for financial asset management. The UI is complex and data-heavy, which makes it powerful for specialists but challenging for general users.
- โ Deep asset hierarchy โ multi-site, multi-system
- โ Strong ERP integration for financial asset data
- โ Complex UI โ requires specialist training
- โ High cost for large asset volumes
Brightly's asset register is specifically strong for local government โ built to support the IPWEA NAMS framework and Australian asset management reporting requirements. Good bulk import tools and condition assessment workflow. Less suited to complex industrial asset hierarchies.
- โ NAMS/IPWEA framework aligned โ council-ready
- โ Good condition assessment data capture
- โ Less suited to complex industrial hierarchies
- โ Limited spatial context โ tabular focus
AssetStack's visual defect tracking is the category leader โ defects are tagged directly onto the 3D model with photos, severity ratings, and timestamps. The time-slider then shows how each defect has changed over successive inspection cycles, enabling genuine predictive maintenance decisions based on degradation rate rather than calendar schedules.
- โ 3D-pinned visual defect tagging โ unique capability
- โ Time-based degradation tracking across inspection cycles
- โ AI-assisted defect classification
- โ Requires 3D scanning for full spatial capability
MaintainX has excellent mobile-first defect capture โ technicians can photo-document defects, add notes, assign severity, and auto-generate work orders all from their phone. Fast, intuitive, and well-adopted in the field. Lacks the 3D spatial context and time-based comparison of AssetStack.
- โ Excellent mobile defect capture experience
- โ Instant work order creation from defect
- โ No 3D spatial context
- โ Limited longitudinal defect tracking
Maximo's inspection modules enable structured defect capture with configurable forms, severity ratings, and automated work order routing. The Visual Inspection AI module adds image-based defect detection for industrial environments. Powerful but requires configuration expertise to fully leverage.
- โ Visual Inspection AI โ image-based defect detection
- โ Highly configurable inspection forms & workflows
- โ Heavy configuration requirement
- โ Not suited to smaller organisations
Maximo's AI suite โ powered by IBM Watson โ is the deepest in the market. Reliability-Centred Maintenance (RCM), AI-based failure prediction, Visual Inspection AI for image-based defect detection, and natural language querying via MAS. At enterprise scale, nothing competes. The barrier is cost and implementation complexity.
- โ IBM Watson-powered predictive maintenance
- โ Visual Inspection AI โ image defect classification
- โ $80Kโ$300K+ annually โ enterprise only
- โ Requires AI/ML expertise to configure
AssetStack's AI operates in a unique way โ trained on visual condition data from 3D scans and inspection images to identify defect patterns, predict degradation rates, and surface capital planning recommendations. Accessible to non-technical users through plain-language dashboards. AI-driven lifecycle forecasting is a genuine differentiator at the strategic level.
- โ AI on visual data โ defect pattern recognition
- โ Plain-language dashboards โ no AI expertise needed
- โ IoT/sensor-based AI still maturing
Tractian pairs AI software with its own vibration and temperature sensors to deliver best-in-class predictive diagnostics for rotating machinery. If your primary AI need is "when will this pump fail?", Tractian is unmatched. Narrow focus โ less suited to facilities management or strategic planning use cases.
- โ Best-in-class rotating machinery failure prediction
- โ Paired hardware + software โ integrated AI
- โ Narrow scope โ industrial/manufacturing focus
- โ Not suited to facilities or strategic asset management
Maximo Application Suite includes native IoT integration through IBM's cloud IoT platform โ connecting thousands of sensors, handling real-time data at scale, and triggering automated maintenance workflows. Deep SCADA and BMS integration makes it the enterprise standard for condition-based maintenance at industrial scale.
- โ Native IBM IoT Cloud integration
- โ SCADA / BMS / OT system connectivity
- โ Complex setup โ specialist integration required
HxGN EAM excels at sensor-driven reliability engineering โ connecting IoT data directly to its Asset Performance Management and failure analysis workflows. Particularly strong for rotating equipment in oil & gas and heavy industrial environments. The sensor-to-work-order automation is among the best available.
- โ Strong sensor-to-failure-analysis workflow
- โ Best for heavy industrial IoT environments
- โ Narrow fit โ not suited to facilities/councils
AssetStack supports sensor data integration as a complementary layer to its visual intelligence platform โ connecting building sensor networks to the digital twin for real-time status overlays. IoT capability is growing and particularly useful for environmental monitoring in facilities and infrastructure. Roadmap indicates significant IoT expansion in FY27.
- โ Sensor data overlaid on 3D digital twin
- โ Good for building environmental monitoring
- โ Not yet suited to heavy industrial IoT scale
MaintainX sets the standard for modern work order UX. The mobile app is genuinely excellent โ technicians adopt it without training, real-time messaging is built in, and the status tracking is instant. For organisations where frontline technician adoption is the primary challenge, MaintainX wins this category outright.
- โ Best-in-class mobile UX โ near-zero training required
- โ Built-in real-time messaging for field teams
- โ Less suited to complex enterprise work routing
Maximo's work order engine is battle-hardened for enterprise complexity โ multi-site routing, contractor management, permit-to-work integration, and deep inventory linkage. Unmatched for large, complex operations. The tradeoff is UX complexity that requires dedicated training programs for field teams.
- โ Enterprise-grade routing and contractor management
- โ Permit-to-work and safety compliance integration
- โ UX complexity โ requires significant training
AssetStack's work order module is fully functional and integrates seamlessly with its visual inspection and defect management workflows โ work orders can be raised directly from a defect tagged in the 3D model. Strong for inspection-driven maintenance. Not the primary strength compared to its strategic planning capability.
- โ Work orders created directly from 3D defect tags
- โ Strong inspection-to-work-order workflow
- โ Not the primary strength โ strategic planning leads
Maximo's scheduling engine is the most sophisticated available โ supporting fixed, floating, seasonal, and IoT-triggered PM schedules with resource optimisation built in. The AI Scheduling Optimizer can automatically sequence thousands of work orders across multiple teams and sites. Overkill for smaller organisations but unmatched at enterprise scale.
- โ AI Scheduling Optimizer โ multi-site resource planning
- โ All schedule types: fixed, floating, condition-based, IoT
- โ Complex to configure โ specialist expertise required
MaintainX delivers a clean, intuitive scheduling experience that field teams actually use. PM schedules are easy to create, assign, and track with a calendar interface that's genuinely usable on mobile. Best for organisations that prioritise adoption speed over scheduling complexity.
- โ Intuitive calendar โ high team adoption
- โ Strong compliance deadline tracking
- โ Less sophisticated than Maximo for complex scheduling
AssetStack's maintenance scheduling stands out for its integration with condition intelligence โ schedules can be driven by actual asset degradation rates identified through 3D scan comparisons, rather than arbitrary calendar intervals. This condition-led approach is more effective for organisations managing complex facility portfolios.
- โ Condition-led scheduling โ based on real degradation
- โ Integrated with lifecycle forecasting
- โ Less granular resource scheduling vs Maximo
AssetStack's reporting is its greatest differentiator for leadership audiences. The board-level dashboard translates complex asset condition data into financial risk profiles โ showing CapEx risk timelines, portfolio condition grades, and investment priorities in a visual format that boards and councils can actually act on. No other platform in this category comes close for strategic decision-support reporting.
- โ Board-level visual CapEx risk dashboards
- โ Portfolio benchmarking across all facilities
- โ Strategic and operational views โ role-based
- โ Operational reporting less granular than Maximo
Maximo's reporting depth for operational metrics is exceptional โ hundreds of pre-built reports, KPI tracking, and Cognos analytics integration for business intelligence. For maintenance managers and reliability engineers, it's the benchmark. Executive reporting requires customisation and is less visual than AssetStack's native dashboards.
- โ Hundreds of pre-built operational reports
- โ Cognos BI integration for advanced analytics
- โ Executive reporting requires customisation
Brightly's reporting is well-suited for local government โ specifically producing the LTFP (Long-Term Financial Plan) and asset condition reporting formats that councils need for state government submissions. Strong for compliance and capital planning outputs to regulatory audiences. Less strong for real-time operational dashboards.
- โ LTFP and council compliance reporting templates
- โ Good capital planning output formats
- โ Less strong for real-time operational dashboards
AssetStack's financial management capability is built around the strategic planning needs of asset owners โ not the day-to-day cost tracking of maintenance teams. The 10โ20 year CapEx forecasting engine translates condition data into investment timelines, budget modelling, and risk-prioritised replacement schedules. For CFOs, GMs, and board members who need to understand the true financial liability embedded in ageing infrastructure, this is the best tool available.
- โ 10โ20 year CapEx forecasting from condition data
- โ Investment prioritisation modelling โ risk vs cost
- โ Portfolio-level financial benchmarking
- โ Day-to-day cost tracking less granular than Maximo
Maximo is strong on the operational financial side โ work order cost capture, inventory valuation, and deep ERP integration with SAP and Oracle. Its financial reporting is comprehensive for maintenance cost management. The gap is on the strategic forecasting side: lifecycle cost modelling and 10-year capital planning require significant customisation or third-party tools.
- โ Deep SAP/Oracle ERP integration
- โ Comprehensive work order and inventory cost tracking
- โ Strategic lifecycle forecasting requires customisation
Brightly's financial management module is purpose-built for local government โ specifically supporting asset depreciation to AASB 116 standards, LTFP integration, and capital works budgeting for council financial statements. For councils that need to connect asset condition to their annual budget cycle and 10-year financial plan, Brightly delivers well.
- โ AASB 116 depreciation compliance for councils
- โ LTFP integration and capital works budgeting
- โ Narrow focus โ primarily council financial management
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