Two-way sync
Changes in SAP Hana or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Keep SAP Hana 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.
Success Factors is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. SAP Hana 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 Schemas, Sequences, Triggers, System-versioned temporal tables in SAP Hana 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 Schemas, Sequences, Triggers, System-versioned temporal tables in SAP Hana 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.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
Position, PerEmail and PerPhone, User, PerPerson replicate into SAP Hana where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Groups, departments, managers, and reporting lines from Success Factors stay consistent in SAP Hana, so hierarchy-driven logic and permissions don't drift.
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 Hana objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Triggers is specific to SAP Hana and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| System-versioned temporal tables Column store tables with a history table tracking each row's validity period; used to reconstruct update and delete history for change capture. | User Core identity/User entity behind role-based permissions; a model distinct from Employee Central, synced two-way with a directory or IdP and downstream apps. | System-versioned temporal tables is specific to SAP Hana and User to Success Factors — each maps to any object or custom field on the other side. | |
| System views (SYS schema) Catalog and monitoring views such as SYS.TABLES and TABLE_COLUMNS; read to discover schema and auto-generate field mappings for new tables. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | System views (SYS schema) is specific to SAP Hana and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Column store tables is specific to SAP Hana and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Row store tables is specific to SAP Hana and EmpJob to Success Factors — each maps to any object or custom field on the other side. | |
| Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Calculation views is specific to SAP Hana and EmpCompensation to Success Factors — each maps to any object or custom field on the other side. |
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.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
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 Hana as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–Success Factors connection.
Changes in SAP Hana or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SAP Hana or Success Factors data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single SAP Hana or Success Factors record.
Track your SAP Hana ⇄ Success Factors sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SAP Hana and Success Factors.
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.
Authenticate SAP Hana 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.
Pick the SAP Hana 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between SAP Hana and Success Factors: authenticate both systems, choose the objects to sync (such as SAP Hana's Triggers and System-versioned temporal tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed SAP Hana and Success Factors connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom SAP Hana–Success Factors integration in-house.
Yes — Stacksync ships production-grade connectors for both SAP Hana and Success Factors. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on SAP Hana: Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks. On Success Factors: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP Hana side: Schemas, Sequences, Triggers, System-versioned temporal tables, plus custom fields where SAP Hana exposes them. On the Success Factors side: Position, PerEmail and PerPhone, User, PerPerson. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 540 integrations available for SAP Hana and Success Factors.