Oracle EBS to Salesforce Data Migration
Move your customer, order, and receivables data from Oracle EBS to Salesforce with AI-powered automation. Settle handles the complex schema transformations between Oracle's relational model and Salesforce's object architecture.
Working with enterprise teams on active migration programs
—
to production-ready mappings
40–50%
cost reduction vs. manual migration
90%+
average mapping confidence
Most enterprise migrations start 6+ months behind schedule. Yours doesn't have to.
This guide is for VPs of IT, data architects, and migration leads at companies moving data from Oracle EBS to Salesforce — whether you're scoping, planning, or mid-program.
Oracle EBS stores customer data in the Trading Community Architecture (TCA) — a deeply normalized hierarchy spanning HZ_PARTIES, HZ_CUST_ACCOUNTS, HZ_PARTY_SITES, and HZ_CUST_SITE_USES — while Salesforce uses a flatter Account-Contact-Opportunity model. Mine denormalizes the TCA hierarchy automatically, preserving billing and shipping address purposes, contact relationships, and multi-org segmentation.
Based on enterprise migration programs led by Mine's founding team
Last updated March 2026
Get your Oracle EBS to Salesforce mapping analysis — see results in under an hour
Migration timeline: manual vs. Mine
Traditional approach
Timeline
6–12 months
Estimated cost
$800K–2.5M
Team size
5–10 consultants
Typically requires
×Manual field mapping in spreadsheets
×Custom ABAP/SQL extraction scripts
×3–5 mock migration cycles
×Dedicated source system consultants
×Manual reconciliation testing
With Mine
Enterprise benchmarksTimeline
—
Team size
—
Estimated cost
40–50% less
Included
✓Schema profiling & analysis
✓AI-generated field mappings
✓Transformation SQL
✓Validation & readiness reports
✓Production-ready load files
Common challenges migrating from Oracle EBS to Salesforce
Trading Community Architecture (TCA) complexity
Oracle EBS stores customer data in the TCA model — HZ_PARTIES (organizations and people), HZ_PARTY_SITES (addresses), HZ_CUST_ACCOUNTS (customer accounts), and HZ_CUST_SITE_USES (billing/shipping purposes). A single business entity can have dozens of records across these tables. Mapping to Salesforce's flatter Account model requires careful denormalization.
Explore related migrations →Multi-org and operating unit segmentation
Oracle EBS uses operating units (ORG_ID) to segment transactional data. Customers, orders, and invoices all carry ORG_ID references. Salesforce doesn't have a native operating unit concept — this segmentation must be modeled using record types, custom fields, or multi-org architecture decisions.
Explore related migrations →Receivables and payment history
Oracle AR data (RA_CUSTOMER_TRX, AR_PAYMENT_SCHEDULES, AR_CASH_RECEIPTS) contains complex invoice and payment linkages. Migrating this to Salesforce — whether to custom objects or a financial app — requires preserving transaction-to-receipt relationships and aging calculations.
Explore related migrations →Oracle DFF and KFF custom extensions
Oracle's Descriptive Flexfields (DFFs) and Key Flexfields (KFFs) are used extensively to store custom data. These context-sensitive, segment-based structures have no direct Salesforce equivalent and must be analyzed individually to determine the target mapping.
Explore related migrations →Oracle EBS to Salesforce field mapping — what data moves
10 data objects typically migrated
| Source Object | → | Target Object |
|---|---|---|
| HZ_PARTIES | → | Account / Contact |
| HZ_CUST_ACCOUNTS | → | Account |
| HZ_PARTY_SITES / HZ_LOCATIONS | → | Account Address fields |
| HZ_CUST_SITE_USES | → | Account (custom fields) |
| HZ_CONTACT_POINTS | → | Contact.Phone / Contact.Email |
| OE_ORDER_HEADERS / LINES | → | Opportunity / Order |
| RA_CUSTOMER_TRX (AR Invoices) | → | Custom Object / Archive |
| AR_PAYMENT_SCHEDULES | → | Custom Object |
| QP_LIST_HEADERS (Price Lists) | → | PricebookEntry |
| FND_LOOKUP_VALUES | → | Picklist Values |
Typical enterprise migrations include 500K–10M+ records across these objects. Mine handles profiling and mapping at any scale.
The cost of manual Oracle EBS to Salesforce migration
Traditional approaches rely on custom PL/SQL extraction scripts, middleware like Oracle Data Integrator, and extensive manual mapping — typically a 6–12 month effort involving both Oracle and Salesforce specialists.
Frequently asked questions
Related migration paths
In one enterprise migration, a single field mapping error in customer master data caused $100K in billing discrepancies that went undetected for 6 months.
Mine catches these issues before they reach production.
Built by a team that led SAP, Oracle, and Salesforce data migration programs for Fortune 500 companies at a Big 4 consulting firm. Currently in design partnership with enterprise clients running active migration programs.
Ready to migrate from Oracle EBS to Salesforce?
Tell us about your migration and we'll show you how Mine can help.
No commitment required. We'll review your migration scope and share a preliminary assessment within 48 hours.
You'll receive a preliminary mapping analysis showing how your source objects map to your target schema, with confidence scores and flagged risk areas.