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Database ⇄ Human resources

IBM AS/400 to Success Factors integration — real-time, two-way sync

Keep IBM AS/400 and Success Factors in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM AS/400 and Success Factors

Put your workforce data where your apps can reach it: IBM AS/400 and Success Factors share the same people, positions, and org structure in real time.

Success Factors is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. IBM AS/400 is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Position, PerEmail and PerPhone, User, PerPerson in Success Factors need to exist as queryable Physical files (tables), Logical files (views), Members, Rows / records in IBM AS/400 before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.

Stacksync syncs Physical files (tables), Logical files (views), Members, Rows / records in IBM AS/400 with Position, PerEmail and PerPhone, User, PerPerson in Success Factors field by field, in real time. You decide which system owns which fields — Success Factors typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.

The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.

Common use cases

  • 01 Feed shipment and invoice data from the AS/400 into logistics and finance tools in near real time.
  • 02 Expose AS/400 order, inventory, and item master data to modern SaaS tools without rewriting green-screen applications.
  • 03 Two-way sync of User and EmpJob (position, department, manager, cost center) into Postgres so provisioning, internal apps, and analytics read current org data in SQL while HR edits in SuccessFactors.
  • 04 Push new hires (PerPerson, EmpEmployment, EmpJob) into an ERP or payroll system so account, cost-center, and payroll setup fire on hire instead of manual Integration Center exports.

Common sync patterns

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

Position, PerEmail and PerPhone, User, PerPerson replicate into IBM AS/400 where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Success Factors stay consistent in IBM AS/400, so hierarchy-driven logic and permissions don't drift.

What you can sync between IBM AS/400 and Success Factors

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

IBM AS/400 objects Success Factors objects How this pairing syncs
Journals and journal receivers The change log that enables log-based CDC on journaled files. EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. Journals and journal receivers is specific to IBM AS/400 and EmpEmployment to Success Factors — each maps to any object or custom field on the other side.
Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. Data queues is specific to IBM AS/400 and EmpJob to Success Factors — each maps to any object or custom field on the other side.
Libraries The schema-equivalent containers that scope which files a sync reads. EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. Libraries is specific to IBM AS/400 and EmpCompensation to Success Factors — each maps to any object or custom field on the other side.
Physical files (tables) The Db2 for i tables mapped directly to sync targets. Foundation Objects (FODepartment, FOLocation, FOCostCenter) Org-structure master data (department, location, cost center, division); mastered elsewhere and written in, or read out to build org charts. Physical files (tables) is specific to IBM AS/400 and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side.
Logical files (views) Indexed or filtered views over physical files, usable as read sources. Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. Logical files (views) is specific to IBM AS/400 and Position to Success Factors — each maps to any object or custom field on the other side.
Members Sub-partitions of files in legacy applications, flattened or selected during syncs. PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. Members is specific to IBM AS/400 and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side.

How changes propagate between IBM AS/400 and Success Factors

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

IBM AS/400 Success Factors Sub-second propagation

DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.

DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.

Success Factors IBM AS/400 Sub-second propagation

DetectionSuccess Factors notifies Stacksync of record changes through webhook events. Polling on each entity's lastModifiedDateTime / lastModifiedOn (effective-dated entities require date-range handling).

DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM AS/400: Bounded by system resources and subsystem configuration rather than an API quota.
  • Success Factors: OData calls are throttled at the tenant level (Access Limits for OData V2); large reads must be paginated (default page size 1000) via $top/$skip or paging cursors.
What ships with IBM AS/400 ⇄ Success Factors

Connect IBM AS/400 and Success Factors for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–Success Factors connection.

Real-time

Two-way sync

Changes in IBM AS/400 or Success Factors instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM AS/400 or Success Factors data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single IBM AS/400 or Success Factors record.

Observability

Monitoring

Track your IBM AS/400 ⇄ Success Factors sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Success Factors.

How the IBM AS/400 and Success Factors connectors work

IBM AS/400

Integration surface
SQL over JDBC/ODBC to Db2 for i (for example the JTOpen/jt400 driver), alongside native record-level access
Authentication
IBM i user profile credentials (database credentials)
Change detection
Journal-based CDC by reading journal receivers on journaled files; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by system resources and subsystem configuration rather than an API quota.

Success Factors

Integration surface
OData V2 and V4 REST APIs (plus legacy SFAPI / Compound Employee SOAP API)
Authentication
OAuth 2.0 SAML Bearer Assertion — register an OAuth client for an API key (used as client_id), then exchange a signed SAML assertion for a short-lived access token; legacy HTTP Basic auth is being retired
Change detection
Polling on each entity's lastModifiedDateTime / lastModifiedOn (effective-dated entities require date-range handling); Intelligent Services can also push a fixed set of standard business events (e.g. Employee Hire) to a REST endpoint
Capabilities
read · write · webhooks
Rate limits
OData calls are throttled at the tenant level (Access Limits for OData V2); large reads must be paginated (default page size 1000) via $top/$skip or paging cursors.
How it works

How to connect IBM AS/400 to Success Factors — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate IBM AS/400 and Success Factors with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    IBM AS/400 connected
    Success Factors connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM AS/400 and Success Factors objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · IBM AS/400 ⇄ Success Factors
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    IBM AS/400 Success Factors
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

IBM AS/400 and Success Factors integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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ISO 27001
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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 433 integrations available for IBM AS/400 and Success Factors.

Popular · 7 of 433
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