SAP SuccessFactors Connector

    SAP SuccessFactors ETL Connector

    Extract, transform, validate and move SAP SuccessFactors data to ERP, HCM, payroll, data warehouse, cloud and archive platforms. SyntraETL supports one-time migrations, repeatable ETL pipelines, historical data archival and downstream data delivery — without locking your project to a single target application.

    Any Source. Any Target. Governed by SyntraETL.

    ExtractTransformValidateMigrateIntegrateArchiveReconcile

    Use SAP SuccessFactors as a source for migration, integration, analytics, archival and enterprise data transformation.

    Source Connector: Supported

    SuccessFactors projects

    Related Project Experience

    300+ successful enterprise data projects delivered · Migration · Archival · Reconciliation · Decommissioning

    Migration, archival, reconciliation and decommissioning experience across ERP, HCM, payroll and enterprise platforms.

    MigrationERP, HCM, Payroll & SCM
    ArchivalLegacy ERP, HCM, Payroll & EHR
    ScaleFocused migrations through multi-terabyte archives
    PlatformsOracle · SAP · Workday · UKG · PeopleSoft · Dynamics 365 · ADP + more

    What Can You Do With the SAP SuccessFactors Connector?

    ERP & HCM Migration

    Move SuccessFactors employee and workforce data into another ERP or HCM platform during implementation, consolidation or replacement programmes.

    Examples

    • Oracle Fusion HCM
    • Workday
    • SAP platforms
    • Other enterprise HCM targets

    Payroll Migration

    Extract employee, compensation, payroll-related and organisational data for transition to external payroll platforms such as ADP or other country payroll systems.

    Data Warehouse & Analytics

    Deliver SuccessFactors information to enterprise data platforms for workforce analytics, historical reporting and cross-application analysis.

    Examples

    • Snowflake
    • Microsoft Fabric
    • Databricks
    • BigQuery
    • Redshift

    Application Integration

    Create repeatable outbound data pipelines from SuccessFactors to downstream enterprise applications, middleware and APIs.

    Data Archival

    Extract historical SuccessFactors information into secure long-term storage while retaining reporting, search and auditability.

    System Decommissioning

    Preserve required historical employee and talent information before retiring or consolidating a SuccessFactors tenant.

    SAP SuccessFactors Data Supported by SyntraETL

    Employee Central

    • Person
    • Employment
    • Job Information
    • Personal Information
    • Addresses
    • Emails
    • Phones
    • National IDs
    • Work Relationships

    Organisation & Workforce Structures

    • Companies
    • Business Units
    • Divisions
    • Departments
    • Locations
    • Jobs
    • Positions
    • Cost Centres
    • Foundation Objects

    Compensation

    • Compensation Information
    • Pay Components
    • Recurring Pay
    • Non-Recurring Pay
    • Salary History
    • Payment Information

    Talent

    • Performance
    • Goals
    • Succession
    • Talent Profiles
    • Competencies

    Recruiting & Onboarding

    • Candidates
    • Applications
    • Job Requisitions
    • Offers
    • Onboarding records

    Learning

    • Courses
    • Curricula
    • Assignments
    • Completions
    • Certifications
    • Learning history

    Custom Data

    • MDF Objects
    • Custom Fields
    • Picklists
    • Country-specific extensions

    Actual supported objects depend on customer configuration, licensed modules and available SuccessFactors APIs.

    How the SAP SuccessFactors ETL Connector Works

    SuccessFactors → SyntraETL → Any Target

    1

    Connect

    Connect securely to SuccessFactors using approved extraction mechanisms such as OData APIs, Compound Employee API, reports and structured exports.

    2

    Discover

    Inventory standard entities, Foundation Objects, MDF objects, custom fields, picklists and available historical data.

    3

    Extract

    Perform full or incremental data extraction while preserving effective-dated records and source identifiers.

    4

    Profile

    Analyse data quality, completeness, duplicates, invalid values and unexpected source structures.

    5

    Map

    Map SuccessFactors entities and fields to the destination data model through configurable crosswalks.

    6

    Transform

    Standardise IDs, dates, organisational structures, lookup values, compensation structures and destination-specific formats.

    7

    Deliver

    Generate target-ready payloads, APIs or structured files for enterprise applications, databases, warehouses or archives.

    8

    Reconcile

    Compare source and destination counts, totals, exceptions and transformation results with complete audit evidence.

    Native SAP SuccessFactors Extraction

    OData APIs

    Support available SuccessFactors OData APIs for structured employee and application data extraction.

    Compound Employee API

    Use Compound Employee where appropriate for worker-centric snapshots and history.

    Integration Center / Scheduled Exports

    Consume controlled scheduled extracts where direct API extraction is not appropriate.

    Reports & Bulk Files

    Support customer-provided reports and structured exports.

    Incremental Extraction

    Support repeatable delta extraction for migration cycles and ongoing pipelines.

    SuccessFactors-Aware Data Transformation

    Effective-Dated History

    Preserve and transform SuccessFactors effective-dated employee and job records appropriately for the destination.

    Foundation Object Mapping

    Map SuccessFactors companies, business units, departments, locations, jobs and positions to target organisational structures.

    MDF Object Handling

    Extract and transform customer-specific Metadata Framework objects.

    Picklist Crosswalks

    Translate customer-specific SuccessFactors codes into target values through controlled crosswalks.

    Employee Identifier Resolution

    Maintain source identifiers and cross-system keys to support traceability and reconciliation.

    Data Standardisation

    Standardise dates, country codes, currencies, text fields, enumerations and target-specific formatting.

    Data Quality Before Data Movement

    Migration failures often start with source data issues rather than the loading technology. SyntraETL profiles SuccessFactors data before transformation so teams can identify and resolve issues before target loading.

    Missing mandatory fields
    Duplicate employee identifiers
    Invalid picklist values
    Orphaned positions
    Invalid manager relationships
    Inactive Foundation Objects
    Inconsistent dates
    Incomplete compensation records
    Unexpected MDF values
    Referential-integrity issues

    Where Can You Move SAP SuccessFactors Data?

    ERP & HCM Platforms

    Oracle Fusion HCM, Workday, SAP, Microsoft Dynamics 365, Other enterprise applications

    Transform SuccessFactors data into destination-specific structures and load-ready files.

    Payroll Platforms

    ADP GlobalView, ADP Workforce platforms, Country payroll systems, Other payroll applications

    Deliver employee, payroll, compensation and organisational data according to target specifications.

    Data Warehouses & Lakehouses

    Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift

    Deliver structured, analytics-ready SuccessFactors data for workforce reporting.

    Cloud & Databases

    Azure, AWS, OCI, SQL Server, PostgreSQL

    Load SuccessFactors data directly into cloud infrastructure and databases.

    Archive & Historical Reporting

    SyntraETL Archive, Cloud object storage, Customer databases, Compliance repositories

    Preserve historical SuccessFactors data with searchable, governed access.

    Files, APIs & Downstream Applications

    CSV, JSON, XML, Parquet, REST APIs, SFTP

    Deliver target-ready output in the format your downstream system requires.

    Reconciliation You Can Prove

    Source → Staging → Transformed → Delivered

    Record counts
    Employee counts
    Object counts
    Control totals
    Transformation exceptions
    Rejected records
    Source-to-target cross-reference
    Variance reports
    Audit evidence

    Every transformation should be explainable. SyntraETL maintains traceability from the original SuccessFactors record through transformation and delivery, helping business and technical teams verify completeness before sign-off.

    One Connector. Three Ways to Use SyntraETL.

    MOVE

    SyntraETL Migrate

    Move SuccessFactors data into a new enterprise application.

    Use for

    • ERP/HCM replacement
    • Payroll migration
    • Mergers and acquisitions
    • Consolidation
    • Implementation projects
    Explore Data Migration →

    INTEGRATE

    SyntraETL Connect

    Create repeatable enterprise ETL pipelines.

    Use for

    • Downstream systems
    • Data warehouses
    • Analytics
    • APIs
    • Scheduled data delivery
    Explore ETL & Integration →

    PRESERVE

    SyntraETL Archive

    Preserve historical SuccessFactors data securely.

    Use for

    • Application decommissioning
    • Long-term retention
    • Historical reporting
    • Audit
    • Regulatory requirements
    Explore Data Archival →

    Enterprise ETL Built for Complex Application Data

    SyntraETL is an enterprise data movement platform designed for application-aware extraction, transformation, validation and reconciliation. Instead of treating enterprise applications as generic databases, SyntraETL understands application objects, relationships, effective dates, reference data and target dependencies.

    Pre-built application connectors
    Configurable mappings
    Automated transformation
    Data profiling
    Validation rules
    Reconciliation
    Incremental extraction
    Audit trails
    Structured file generation
    APIs
    Cloud deployment
    Archive support

    Why Use SyntraETL for SuccessFactors Data?

    Faster Migration Cycles

    Reusable extraction and transformation pipelines reduce repeated manual work.

    Better Data Quality

    Profile, cleanse and validate data before delivery.

    Target Flexibility

    Avoid rebuilding the complete extraction layer when destination requirements change.

    Full Reconciliation

    Maintain evidence of what was extracted, transformed and delivered.

    Enterprise Scale

    Process large worker populations and extensive historical datasets.

    Reusable Pipelines

    Reuse configured mappings for mock runs, cutovers and repeatable extracts.

    Lower Migration Risk

    Identify mapping and data problems before they reach the destination.

    Auditability

    Preserve transformation and reconciliation evidence throughout the ETL lifecycle.

    Frequently Asked Questions

    What is a SAP SuccessFactors ETL connector?+

    A SAP SuccessFactors ETL connector extracts data from SuccessFactors, transforms and validates it against a target application's data model, and delivers it to that target — a migration platform, an integration pipeline, a data warehouse, or an archive. SyntraETL's SuccessFactors connector handles all three stages: extraction, transformation and delivery.

    What data can SyntraETL extract from SAP SuccessFactors?+

    Employee Central data (person, employment, job information, addresses, work relationships), organisation and workforce structures (companies, business units, departments, positions, foundation objects), compensation, talent and performance data, recruiting and onboarding records, Learning data, and customer-specific MDF objects and custom fields — subject to your licensed modules, configuration and the SuccessFactors APIs available in your tenant.

    Can SAP SuccessFactors data be migrated to systems other than Oracle?+

    Yes. SyntraETL combines reusable SuccessFactors extraction with configurable target mappings, so SuccessFactors data can be migrated to Workday, other HCM or ERP platforms, payroll systems, data warehouses or archives — not only Oracle Fusion HCM. Coverage depends on whether the target has an accessible load mechanism (API, bulk file or approved interface).

    Can SyntraETL move SuccessFactors data to Workday?+

    Yes. SuccessFactors entities and fields are mapped to Workday's data model through configurable crosswalks, with the same extract-transform-validate-deliver process used for any target.

    Can SyntraETL move SuccessFactors data to ADP?+

    Yes. Employee, payroll and compensation data is transformed into the interface format your target ADP platform requires, based on the agreed specification for that engagement.

    Can SuccessFactors data be loaded into a data warehouse?+

    Yes. SyntraETL delivers structured output (tables, files or API payloads) suitable for Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift and similar platforms, for workforce analytics and cross-application reporting.

    Does SyntraETL support MDF objects?+

    Yes, subject to the Metadata Framework objects, custom fields and picklists exposed by your SuccessFactors tenant's accessible APIs and configuration.

    How does SyntraETL handle effective-dated SuccessFactors data?+

    Effective-dated employee and job records are extracted with their date-tracked history intact, then transformed to match how the destination application represents effective-dated or point-in-time data.

    Can SyntraETL archive SuccessFactors data?+

    Yes. Historical SuccessFactors data can be extracted into a governed, searchable archive — used both for retiring a SuccessFactors tenant and for reducing ongoing licensing or storage cost while retaining audit access.

    Can SyntraETL support incremental SuccessFactors extraction?+

    Yes. Both full extraction and incremental (delta) extraction are supported, so an initial migration and ongoing repeatable pipelines can use the same connector.

    Put Your SAP SuccessFactors Data to Work Anywhere

    Whether you are migrating to a new HCM platform, moving payroll data, building an analytics environment, integrating downstream applications or retiring SuccessFactors, SyntraETL provides the extraction, transformation, validation and reconciliation layer.