HRMS migration
Field-level mapping, validation, and rollback between SAP SuccessFactors and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
SAP SuccessFactors
Source
BambooHR
Destination
Compatibility
8 of 11
objects map 1:1 between SAP SuccessFactors and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from SAP SuccessFactors to BambooHR is a structural migration from a modular enterprise HCM suite to a unified SMB HRIS. SuccessFactors uses a layered object model (PerPerson, PerPersonal, Foundation Objects, and customer-defined MDF entities) held together by OData API relationships; BambooHR uses a single Employee record with embedded custom fields and separate custom tables for structured data. We extract via the Compound Employee API and Integration Center, transform the nested SuccessFactors object hierarchy into flat BambooHR records, and load through the BambooHR API with API-key authentication. A hard 1000-record ceiling on SuccessFactors OData responses requires chunked extraction for large headcounts. Workflows, approval chains, Learning enrollments, and SuccessFactors-specific automations do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in BambooHR or document as process changes.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a SAP SuccessFactors object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
SAP SuccessFactors
PerPerson and PerPersonal
BambooHR
Employee
1:1Core employee records from SuccessFactors Employee Central PerPerson and PerPersonal HRIS elements export via the Compound Employee API. Standard fields (legal name, preferred name, date of birth, nationality, address, emergency contact) map directly to BambooHR Employee fields. The employment status field maps from SuccessFactors personType or employmentType to BambooHR's hire date, termination date, and employment status fields. We use PerPerson's userId as the BambooHR employee ID for dedupe.
SAP SuccessFactors
Employment (Job Info)
BambooHR
Employee (Job Fields)
1:1SuccessFactors Job Info (jobRelationship, department, division, location, business unit) maps to BambooHR's jobTitle, department, division, location, and supervisor fields. Manager relationships extract from the employment reportsTo field and are resolved to BambooHR supervisorEmployeeNumber during import so that the org chart reconstructs correctly. Effective-dated Job Info entries use the most recent record as the current state unless historical tracking is requested.
SAP SuccessFactors
Corporate Structure (Foundation Objects)
BambooHR
Department and Location
lossySuccessFactors Foundation Objects (org units, cost centers, business units, pay groups) export as a tree structure via Foundation Object OData endpoints. Department records in BambooHR are created from the highest non-company level of the org tree. Locations map from SuccessFactors Location Foundation Object to BambooHR's location field. Cost center and pay group assignments are stored as custom fields on Employee or in a custom table depending on whether the customer needs them filterable in BambooHR.
SAP SuccessFactors
Compensation Information (MDF-based)
BambooHR
Custom Table or Employee Fields
1:manySuccessFactors MDF-based pay components (base salary, bonus, equity, allowances) with effective dates, currency, and frequency do not have a direct BambooHR equivalent because BambooHR's pay rate is a single field. We discuss the customer's reporting requirements during scoping. For full compensation history, we create a BambooHR custom table (Pro and Elite tiers) with fields for pay component, amount, currency, effective date, and frequency. For a simplified migration, we write the current base salary to the Employee payRate field and note that historical compensation data is preserved in the written handoff document.
SAP SuccessFactors
Custom MDF Objects
BambooHR
Custom Tables
1:1Customer-defined MDF objects (Work Orders, Higher Duty Assignments, industry-specific extensions) export via the generic-object metadata endpoint after a schema discovery step. We inspect each custom object definition to extract field names, picklist IDs, and effective-dating behavior, then create equivalent BambooHR custom tables on the destination Pro or Elite account. Note that BambooHR custom tables are not connected to standard Employee records and do not auto-link; the customer chooses whether to store the MDF data as standalone custom table records or as JSON-encoded fields on the Employee for simpler querying.
SAP SuccessFactors
Time Off and Absence Records
BambooHR
Time Off Balances and Requests
1:1Absence and time-off balances export from SuccessFactors Time Off module (if licensed), including entitlement rows, accrual rates, and taken/pending balances. We map accrual balances to BambooHR's Time Off feature, creating time-off types that match the SuccessFactors absence types. Taken balance updates after the last payroll run date are imported; pending requests are recreated as open requests in BambooHR. Approval history is not migrated.
SAP SuccessFactors
Position Management
BambooHR
Employee Fields and Supervisor Chain
lossySuccessFactors Position Management defines budgeted headcount, incumbent relationships, reportsTo hierarchy, and job associations as structural elements. BambooHR does not have a Position object. We map position incumbent relationships to the BambooHR supervisor chain (each employee's supervisorEmployeeNumber) and flag positions without current incumbents as unfilled roles in the written handoff document. Budgeted headcount and position cost center data are stored as custom fields or in a custom table depending on reporting needs.
SAP SuccessFactors
Job Profile and Job Codes
BambooHR
Job Title and Custom Fields
1:1SuccessFactors Job Profile and JobCode MDF objects export via OData. Job code, job title, job family, and job level map to BambooHR's jobTitle field and optional custom fields. Competency requirements attached to Job Profiles are noted in the written handoff as requirements for BambooHR's Skills and custom fields feature if the customer needs competency tracking post-migration.
SAP SuccessFactors
Competency and Skill Profiles (Talent Intelligence Hub)
BambooHR
Custom Fields or Skills
1:1Competency libraries and skill profiles from SuccessFactors Talent Intelligence Hub export with a pre-migration deduplication scan to prevent duplicate skills accumulating in the destination. Inactive job-to-competency associations are flagged for customer review. We map active competencies to BambooHR custom fields on the Employee record (for structured skills) or to the BambooHR Skills feature if available on the customer's tier. Translation metadata from multilingual competency libraries is preserved in the handoff document.
SAP SuccessFactors
Learning Assignments and Enrollments
BambooHR
Custom Table or Document
1:1SAP SuccessFactors Learning tracks course enrollments, completions, and certifications via the Learning OData API under stricter rate limits than the main HXM Suite API. We export completion records with course name, completion date, expiration date (for certifications), and status. BambooHR does not have a native LMS, so completion records are stored in a custom table or provided as a CSV alongside the migration. Active and pending enrollments are flagged for manual reassignment in the customer's chosen learning tool post-migration.
SAP SuccessFactors
Documents and Attachments
BambooHR
Documents
1:1Employee document attachments (offer letters, contracts, performance reviews stored in Employee Central) export via Integration Center attachment outbound integrations. We route binary files to an SFTP deposit for the customer's BambooHR admin to associate with the correct Employee record manually, or we deliver them alongside the migration package. BambooHR's document feature accepts uploads per employee, and we provide a file-naming convention that maps to the corresponding employee record.
| SAP SuccessFactors | BambooHR | Compatibility | |
|---|---|---|---|
| PerPerson and PerPersonal | Employee1:1 | Fully supported | |
| Employment (Job Info) | Employee (Job Fields)1:1 | Fully supported | |
| Corporate Structure (Foundation Objects) | Department and Locationlossy | Fully supported | |
| Compensation Information (MDF-based) | Custom Table or Employee Fields1:many | Fully supported | |
| Custom MDF Objects | Custom Tables1:1 | Mapping required | |
| Time Off and Absence Records | Time Off Balances and Requests1:1 | Mapping required | |
| Position Management | Employee Fields and Supervisor Chainlossy | Fully supported | |
| Job Profile and Job Codes | Job Title and Custom Fields1:1 | Fully supported | |
| Competency and Skill Profiles (Talent Intelligence Hub) | Custom Fields or Skills1:1 | Fully supported | |
| Learning Assignments and Enrollments | Custom Table or Document1:1 | Mapping required | |
| Documents and Attachments | Documents1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
SAP SuccessFactors gotchas
Hard 1000-record API transfer ceiling
Default 1000 records per request causes timeout on heavy entities
Talent Intelligence Hub migration produces duplicate competencies
Learning module API has independent rate limits
Custom MDF objects require schema inspection before migration
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and scope definition
We audit the source SuccessFactors tenant across licensed modules (Employee Central, Time Off, Learning, Talent), active MDF object definitions, Picklist metadata, and data volume per entity. We pair this with a BambooHR tier assessment: Core ($10/user/month) covers employee records, departments, time-off, and documents; Pro and Elite add custom tables, advanced reporting, and onboarding workflows. The discovery output is a written migration scope that lists every entity to migrate, the MDF schema discovery results, and the BambooHR tier recommendation based on the customer's extended data requirements.
MDF schema inspection and mapping design
Before any data is extracted, we run schema discovery against the SuccessFactors generic-object metadata endpoint for each active MDF object. We extract field labels, internal picklist IDs, effective-dating configuration, and object-to-object relationship definitions. We then design the BambooHR custom table schema (table name, field names, field types) for each MDF entity, resolving picklist IDs to human-readable labels and mapping effective-date handling to the appropriate custom table field structure. This step cannot be automated across tenants because MDF schemas are customer-defined.
BambooHR API setup and custom table provisioning
We generate a BambooHR API key from the customer's admin account and confirm read and write permissions for Employee, Time Off, and custom tables. We provision the custom table schema in the destination BambooHR tenant using the BambooHR API, creating fields that match the mapped MDF definitions. If the customer is on the Core tier, we discuss which extended data to migrate (simplified to Employee custom fields) versus which to include in the written handoff document.
Chunked extraction from SuccessFactors OData
We extract Employee records via the Compound Employee API using chunked batches keyed on PerPerson's userId, maintaining checkpoint state for headcounts exceeding 1,000. Foundation Objects (departments, locations, business units, pay groups) extract as a tree structure before employee records so that department references resolve during import. MDF objects extract after the base employee load with dependency resolution for any object-to-object lookups. Learning completions export under the stricter Learning API rate limits with separate throttling. All extractions are validated against record counts from the source system before transformation begins.
Transformation, dedupe scan, and sandbox load
We transform SuccessFactors records into BambooHR-compatible format: nested PerPerson-PerPersonal-employment hierarchies flatten to a single Employee record; manager relationships resolve to supervisorEmployeeNumber; picklist IDs resolve to label text; effective-dated fields use the most recent value unless historical tracking is requested. For Talent Intelligence Hub competency data, we run a deduplication scan against the competency library before writing. We load a full test migration into the customer's BambooHR sandbox first, validate record counts and field mapping against source, and present a reconciliation report before production migration begins.
Production migration, cutover, and handoff
We run production migration in dependency order: Locations and Departments first, then Employees with manager relationships resolved, then Time Off balances, then MDF custom table records, then Learning completion history. Each phase emits a reconciliation report before the next phase. We freeze SuccessFactors write access during cutover, run a final delta scan for any records modified during migration, and close the load. We deliver the written inventory of SuccessFactors workflows, approval chains, and active Learning enrollments requiring manual rebuild or process reassignment. We provide a one-week hypercare window for reconciliation issues and do not include post-migration admin support, training, or workflow rebuild as standard scope.
Platform deep dives
SAP SuccessFactors
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between SAP SuccessFactors and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across SAP SuccessFactors and BambooHR.
Object compatibility
All 7 core objects map 1:1 between SAP SuccessFactors and BambooHR.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
SAP SuccessFactors: 40 req/sec for OData APIs, 20 req/sec for SFAPIs; Learning OData APIs have separate stricter limits.
Data volume sensitivity
SAP SuccessFactors exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
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FAQ
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