ERP Integration Architecture
Design enterprise ERP integrations. Covers middleware patterns, SAP/Oracle integration, data synchronization, master data management, and integration testing for enterprise systems.
ERP systems are the backbone of enterprise operations — finance, supply chain, HR, manufacturing. But they’re also the hardest systems to integrate with. Legacy protocols, complex data models, batch processing windows, and change management that moves at glacial speed. This guide covers practical patterns for connecting modern applications to ERP systems without going insane.
Integration Patterns
| Pattern | Use Case | Latency | Complexity |
|---|---|---|---|
| API Gateway | Real-time queries, modern ERPs | Low (ms) | Low |
| Middleware/ESB | Protocol translation, routing | Medium | Medium |
| CDC (Change Data Capture) | Near-real-time data sync | Low (seconds) | Medium |
| Batch File Transfer | Bulk data exchange (IDOC, EDI) | High (hours) | Low |
| Event-Driven | Publish ERP events to consumers | Low | Medium-High |
| RPA | Legacy UI with no API | High | High (fragile) |
Integration Architecture
Modern Applications Middleware ERP Systems
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Web App ├──── API ────▶│ │ │ │
│ Mobile App │ │ Integration │◀─ RFC ─│ SAP S/4HANA │
│ Analytics │◀── Events ──│ Platform │ │ │
│ │ │ │ │ │
│ Data Lake │◀── CDC ─────│ (MuleSoft/ │◀─ API ─│ Oracle EBS │
│ │ │ Boomi/ │ │ │
│ CRM │◀── Batch ───│ Dell) │◀─ File─│ Legacy ERP │
└──────────────┘ └──────────────┘ └──────────────┘
Master Data Management
| Data Domain | Source of Truth | Sync Direction | Frequency |
|---|---|---|---|
| Customer | CRM (Salesforce) | CRM → ERP | Near real-time |
| Product | PLM/PIM system | PLM → ERP → E-commerce | Daily batch |
| Vendor | ERP (procurement) | ERP → AP system | On change |
| Employee | HR system (Workday) | HR → ERP → Payroll | On change |
| Financial | ERP (GL) | ERP → Analytics | Daily close |
Data Synchronization
sync_config:
customer_master:
source: salesforce
target: sap_s4
field_mapping:
- source: Account.Name → target: KNA1.NAME1
- source: Account.BillingCountry → target: KNA1.LAND1
- source: Account.Phone → target: KNA1.TELF1
conflict_resolution: source_wins
validation:
- field: Account.Name
rule: not_empty
- field: Account.BillingCountry
rule: iso_country_code
error_handling:
retry_count: 3
dead_letter_queue: true
alert_on_failure: true
Anti-Patterns
| Anti-Pattern | Problem | Fix |
|---|---|---|
| Point-to-point integration | Spaghetti connections, unmaintainable | Integration platform (middleware) |
| Real-time everything | ERP can’t handle transaction volume | Batch for bulk, real-time for critical only |
| Bi-directional sync everything | Conflict resolution nightmare | Define source of truth per data domain |
| Direct database access | Bypasses business logic, breaks on upgrade | Use supported APIs (BAPI, OData, REST) |
| “Big bang” migration | All-or-nothing risk | Phased migration, run parallel systems |
Checklist
- Integration platform selected (MuleSoft, Boomi, custom)
- Source of truth defined per data domain
- Field mapping documented and version-controlled
- Error handling: retry, dead letter queue, alerting
- Data validation at integration boundary
- Idempotent operations (safe to replay)
- Monitoring: sync lag, error rates, throughput
- DR plan: what happens if integration platform is down?
:::note[Source] This guide is derived from operational intelligence at Garnet Grid Consulting. For ERP integration consulting, visit garnetgrid.com. :::