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Database ⇄ Human resources

SAP ASE (Sybase) to Success Factors integration — real-time, two-way sync

Keep SAP ASE (Sybase) 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 SAP ASE (Sybase) and Success Factors

Put your workforce data where your apps can reach it: SAP ASE (Sybase) 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. SAP ASE (Sybase) is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: PerPerson, EmpEmployment, EmpJob, EmpCompensation in Success Factors need to exist as queryable Stored Procedures, Databases and Schemas, Triggers, Indexes in SAP ASE (Sybase) 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 Stored Procedures, Databases and Schemas, Triggers, Indexes in SAP ASE (Sybase) with PerPerson, EmpEmployment, EmpJob, EmpCompensation 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 Replicate ASE tables to Postgres or a warehouse so analytics run off the OLTP system.
  • 02 Bridge legacy ASE-backed applications to modern SaaS tools through a synced intermediate database.
  • 03 Write updated PerEmail, PerPhone, and User attributes back into SuccessFactors from an identity or directory system so contact data stays current.
  • 04 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.

Common sync patterns

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Success Factors stay consistent in SAP ASE (Sybase), so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in SAP ASE (Sybase) write onto the matching record in Success Factors where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Success Factors land as queryable Stored Procedures, Databases and Schemas, Triggers, Indexes in SAP ASE (Sybase), so internal apps and dashboards read live data instead of a periodic export.

What you can sync between SAP ASE (Sybase) 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.

SAP ASE (Sybase) objects Success Factors objects How this pairing syncs
Tables The core sync unit; rows are read and written with standard SQL. PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. Tables is specific to SAP ASE (Sybase) and PerPerson to Success Factors — each maps to any object or custom field on the other side.
Views Read-only projections used to shape data for extraction without touching base tables. EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. Views is specific to SAP ASE (Sybase) and EmpEmployment to Success Factors — each maps to any object or custom field on the other side.
Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. Stored Procedures is specific to SAP ASE (Sybase) and EmpJob to Success Factors — each maps to any object or custom field on the other side.
Databases and Schemas Namespaces that scope sync configuration and permissions. EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. Databases and Schemas is specific to SAP ASE (Sybase) and EmpCompensation to Success Factors — each maps to any object or custom field on the other side.
Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. 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. Triggers is specific to SAP ASE (Sybase) and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side.
Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. Indexes is specific to SAP ASE (Sybase) and Position to Success Factors — each maps to any object or custom field on the other side.

How changes propagate between SAP ASE (Sybase) 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.

SAP ASE (Sybase) Success Factors Interval-based propagation

DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.

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

Success Factors SAP ASE (Sybase) 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 SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • 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 SAP ASE (Sybase) ⇄ Success Factors

Connect SAP ASE (Sybase) and Success Factors for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP ASE (Sybase)–Success Factors connection.

Real-time

Two-way sync

Changes in SAP ASE (Sybase) or Success Factors instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SAP ASE (Sybase) 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 SAP ASE (Sybase) or Success Factors record.

Observability

Monitoring

Track your SAP ASE (Sybase) ⇄ 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 SAP ASE (Sybase) and Success Factors.

How the SAP ASE (Sybase) and Success Factors connectors work

SAP ASE (Sybase)

Integration surface
SQL over the TDS wire protocol; JDBC (jConnect) and ODBC drivers
Authentication
Database credentials (username/password), optionally backed by LDAP or Kerberos
Change detection
Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components
Capabilities
read · write

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 SAP ASE (Sybase) 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 SAP ASE (Sybase) 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
    SAP ASE (Sybase) connected
    Success Factors connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the SAP ASE (Sybase) 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 · SAP ASE (Sybase) ⇄ 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
    SAP ASE (Sybase) Success Factors
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

SAP ASE (Sybase) 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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DPF US-EU-UK-CH
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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:

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