A purpose-built ETL platform for IBM Maximo to Oracle Fusion migration — assets, locations, work orders, PMs, inventory. Hierarchy-aware crosswalks, BIRT/MIF inventory, FBDI emitters. 50–65% faster than consultant-led EAM migrations.
Most Maximo to Oracle Fusion migrations stumble on asset hierarchy translation, automation script inventory, and MIF rewire — not on extract or load.
Maximo customers carry 15–25 years of accumulated EAM customization: Jython automation scripts firing on object events, MIF object structures bolted onto delivered tables, MBOLOOKUP overrides, BIRT reports tied to specific Start Center roles, screen customizations through Application Designer, and asset hierarchies grown organically across mergers and reorganizations. Consultant-led migrations spend the first six to nine months just cataloguing what exists. By the time real ETL work starts, budget and timeline are already gone.
Syntra ETL inverts the sequence. Pre-built Maximo extractors for every delivered table mean week-one extraction. A discovery engine that crawls AUTOSCRIPT, MAXOBJECT, MAXOBJECTCFG, the MIF publish channel registry, and the BIRT REPORT catalog produces a complete customization inventory in days, not months. The conversation that consumed the first six months of every traditional EAM migration now happens in week three, with hard evidence on the table.
Whether you're migrating utilities EAM with NERC CIP traceability, transportation maintenance with FAA/FRA audit requirements, oil & gas operations under PSM/OSHA, or military and public-sector facilities, the same engine handles the workflow — with the same reconciliation rigor and the same audit trail.
And how the Syntra ETL platform addresses each one — before they consume your EAM transformation timeline.
Maximo's deep LOCATIONS tree and asset parent-child structure collides with Fusion ALM's flatter Functional Location model. Syntra ETL's hierarchy analyser surfaces which levels drive maintenance meaning, proposes a Fusion-fit design, and routes administrative depth to attributes or DFFs.
Discovery crawls AUTOSCRIPT, MIF object structures, publish channels, enterprise services, MBO customizations. Every artifact gets a Fusion-equivalence recommendation: native, OIC, VBCS, or retire. Typical outcome: 40–55% retired outright.
10M+ WORKORDER rows, multi-task hierarchies, PM master/child relationships, job plan task sequences. Migrated with full WO history, craft assignment, and PM-WO genealogy preserved in Fusion Maintenance.
Legacy BIRT report inventory, business-value classification, and Fusion-equivalent rebuild plan (OTBI dashboards, BI Publisher templates, Maintenance Work Definition reports). 55–70% of legacy reports retired during cleanup.
Every MIF publish channel and enterprise service (SAP integration, GIS sync, IoT historian feed) gets re-pointed to Oracle Integration Cloud (OIC) flows or REST endpoints — with cut-over orchestration so upstream/downstream systems never lose a beat.
Decades of closed WORKORDER, MEASUREMENT, and MATUSETRANS data don't all need to land in Fusion. The archival path puts cold work orders in queryable cloud storage with auditor-grade access — keeping Fusion lean and license costs predictable.
A repeatable, governed workflow built for Maximo's particular EAM complexity. Typical timeline: 12–20 weeks for a multi-site enterprise migration.
Discovery engine crawls MAXOBJECT, MAXOBJECTCFG, AUTOSCRIPT, MIF service catalog, BIRT REPORT library, and Start Center query definitions. Output: complete customization inventory, asset/location hierarchy depth analysis, and a sized migration assessment with risk register.
LOCATIONS/ASSET hierarchy → Functional Location design, item master (ITEM, INVENTORY) de-duplication rules, classification and asset-attribute routing, vendor (COMPANIES) consolidation, craft and labor remapping. Reviewed and signed off by maintenance engineering, planning, and reliability leads.
Pre-built Maximo extractors pull ASSET, LOCATIONS, WORKORDER, WPLABOR/WPMATERIAL, PM, JOBPLAN, INVENTORY, MEASUREMENT, FAILURECODE, COMPANIES, LABOR, MATUSETRANS, INVTRANS and all dependent tables in parallel. Staged as Parquet with row hashes and SITEID/ORGID partition manifests.
Crosswalks applied, location hierarchy collapsed to Fusion Functional Locations, asset attributes mapped, FBDI payloads generated, validated against Fusion 26x Asset Maintenance release templates. Errors surfaced locally with row-level diagnostics.
FBDI ZIPs submitted to Fusion ESS, monitored to completion, reconciled at row, sum, and hash level. In parallel, critical OTBI and BI Publisher reports rebuilt and validated against Maximo BIRT equivalents. Work order print template, PM schedule, and asset register reports ready at go-live.
1–2 maintenance cycles in parallel (Maximo + Fusion), open WOs and PMs replayed, reconciled at WO count and craft-hour level, sign-off pack issued. Maximo moves to archive-only; production traffic flows to Fusion Maintenance.
No more bespoke MAXOBJECT SQL scripts or MIF export wrangling. Just configure scope, run, reconcile.
ASSET, ASSETSPEC, ASSETMETER, LOCATIONS, LOCHIERARCHY, LOCSPEC, CLASSSTRUCTURE, CLASSSPEC. Full hierarchy and asset specification context preserved with classification taxonomy intact.
WORKORDER, WOACTIVITY, WPLABOR, WPMATERIAL, WPSERVICE, WPTOOL, WOSTATUS, WOAHIST. Open and historical work orders with full task hierarchy, craft assignment, and status transition history.
PM, PMSEQUENCE, JOBPLAN, JPLABOR, JPMATERIAL, JOBTASK, JPASSETSPLINK. PM master/child structure preserved, frequency-based and meter-based schedules migrated, JP task sequences intact.
ITEM, INVENTORY, INVBALANCES, INVCOST, MATUSETRANS, INVTRANS, INVRESERVE, RECEIPT. Storeroom-level balances, costing methods, and 10+ year transaction history for spare parts.
METER, ASSETMETER, MEASUREMENT, MEASUREPOINT, CONDITION, FAILURECODE, FAILURELIST. Meter reading history (often 100M+ rows), failure hierarchies, and condition-monitoring linkages.
COMPANIES, CONTACT, LABOR, CRAFT, LABORCRAFTRATE, PERSON. Supplier consolidation rules applied, labor records remapped to Fusion HCM workers, craft rates migrated for WO costing continuity.
A typical Maximo to Oracle Fusion migration (Maximo 7.6.x with 10–15 years of asset, work order, and PM history) runs 12–20 weeks with Syntra ETL versus 12–18 months with consultant-led approaches. Single-domain projects (assets-only, or work-order history archive) complete in 6–10 weeks. The acceleration comes from pre-built Maximo extractors for ASSET, LOCATIONS, WORKORDER, PM, JOBPLAN, INVENTORY, and MEASUREMENT tables; governed crosswalks for Maximo's location-asset hierarchy to Fusion's Asset Lifecycle Management asset model; and FBDI emitters validated against the current Fusion 26x Asset Maintenance release. MAS (Maximo Application Suite) 8/9 cloud sources are handled the same way as classic MAM 7.6 — the extract is JDBC-based against the underlying DB2/Oracle/SQL Server tier.
Maximo customers move to Oracle Fusion Cloud Maintenance for three reasons: ERP consolidation (finance is already on Fusion, maintenance is the last big island), AI-native asset analytics (Fusion's embedded predictive maintenance and IoT integration vs Maximo's separate add-ons), and the steady cost creep of MAS licensing on OpenShift/Cloud Pak. IBM's strategic direction post-MAS is firmly cloud-and-AI, but the path requires re-platforming onto Red Hat OpenShift and rebuilding integrations through MAS Manage — effectively a migration anyway. Customers comparing 'stay on MAS' vs 'move to Fusion' often find the effort is similar but Fusion delivers a unified maintenance + procurement + finance + HCM stack with one vendor, one identity layer, and one quarterly update cadence.
Yes. Syntra ETL's Maximo extractors target the underlying relational schema — MAXIMO/MAXDEMO database tables like ASSET, LOCATIONS, WORKORDER, WPMATERIAL, INVENTORY, MEASUREMENT — and that schema is consistent across Maximo Asset Management 7.6.x (the classic on-premises product) and Maximo Application Suite 8.x/9.x (the OpenShift-deployed cloud rebrand). For MAS sources we extract via JDBC against the Cloud Pak-hosted database (DB2 Warehouse, Oracle, or SQL Server depending on deployment), respect MAS multi-tenant siteid scoping, and pull MAS Manage automation scripts and Maximo Integration Framework (MIF) artifacts the same way. The extract layer abstracts the deployment topology so the same crosswalks apply regardless of Maximo flavor.
Maximo uses a powerful location/asset hierarchy: LOCATIONS form a multi-level tree (site → operating location → child locations), ASSETs hang off locations, and asset-to-asset parent-child relationships allow component-level structures (engine, gearbox, bearing). Oracle Fusion's Asset Lifecycle Management uses a flatter Asset model with Functional Locations driven by a single hierarchy and Asset Groups for categorization. Syntra ETL's mapping engine walks the Maximo LOCATIONS and ASSET parent-child trees, identifies which levels carry real maintenance meaning (vs purely organizational depth), and proposes a Fusion Functional Location design that preserves the operationally meaningful structure while collapsing administrative levels into asset attributes or DFFs. Every mapping is reviewed with maintenance engineering leads before any load runs.
Maximo automation scripts (typically Jython or JavaScript), MBO customizations, MIF (Maximo Integration Framework) object structures, publish channels, and enterprise services don't migrate as code — Fusion has no Jython runtime or MIF equivalent. Syntra ETL's discovery engine inventories every automation script in AUTOSCRIPT, every MIF object structure in MAXOBJECT/MAXOBJECTCFG, every publish channel and enterprise service, classifies each by business purpose, and produces a Fusion-equivalent recommendation: native Fusion functionality, Oracle Integration Cloud (OIC) flow, Visual Builder extension, or BI Publisher report. Customers typically find 40–55% of automation scripts are redundant under Fusion's native event framework and can be retired entirely. The remaining critical logic gets re-implemented in OIC and Fusion-native tooling.
Maximo BIRT (Business Intelligence and Reporting Tools) reports, KPI dashboards, and Start Center query libraries don't carry over to Fusion. The Syntra ETL assessment phase inventories every BIRT report in production use (REPORT, REPORTPARAM tables), every KPI definition, every saved Start Center query, classifies by business value, and proposes Fusion replacements: OTBI dashboards for ad-hoc maintenance analytics, BI Publisher for pixel-perfect work order print templates, Fusion Maintenance Work Definition reports for PM/JP outputs, and Smart View for Excel-tethered MRO analysis. About 55–70% of legacy BIRT reports are duplicates or low-value and get retired during the cleanup; only the critical ones are rebuilt during the migration so go-live includes the reporting layer, not just the data.
Maximo customers in utilities, oil & gas, and transportation routinely run 10M+ WORKORDER rows, 50M+ WPMATERIAL lines, and 100M+ MEASUREMENT (meter reading) rows. Syntra ETL's Maximo extractors parallelise across SITEID and ORGID partitions, restart cleanly on failure, throttle to avoid contention with Maximo's nightly cron task window, and stage output to cloud object storage as Parquet. The largest WORKORDER extract our customers run is 47 million rows; the largest MEASUREMENT (meter readings) is 2.1 billion rows. A typical 10-million-row WORKORDER extract completes in 3–5 hours on a modest DB2 LUW 11.5 source. Outputs include hash signatures, manifest files with row counts per SITEID/ORGID, and an audit log of every read operation.
No. Syntra ETL's Maximo extractors run as a read-only DB user against the Maximo schema (DB2, Oracle, or SQL Server depending on platform) with SELECT privilege on the MAXIMO tablespace. Extracts are throttled to avoid contention with online users and the nightly cron task window (PM generation, escalations, integrations). For the largest tables — WORKORDER history, MEASUREMENT readings, MATUSETRANS material transactions — extracts can be scheduled during the cron-free window, or pulled from a HADR standby/read-replica to eliminate any production impact. No Maximo application changes, MIF reconfigurations, or automation script modifications are required.
Book a 30-minute discovery call. We'll walk through your Maximo deployment (MAM 7.6 or MAS 8/9), site/org structure, automation script profile, and target Fusion ALM scope — and give you a concrete timeline and budget before the call ends.