Two-way sync
Changes in IBM Netezza or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Netezza 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.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Success Factors is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in IBM Netezza next to everything else the company measures.
Stacksync syncs Position, PerEmail and PerPhone, User, PerPerson from Success Factors into tables in IBM Netezza continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in IBM Netezza, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Success Factors where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Analysts combine Success Factors's workforce records with finance, product, or operational data already in IBM Netezza for reporting the HR system cannot produce on its own.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in IBM Netezza gives you a durable, queryable record of how Success Factors's records change over time, for headcount planning and audit questions.
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 Netezza objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Precomputed results sometimes used as efficient read sources. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Materialized views is specific to IBM Netezza and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| Sequences Key generators referenced when writing new rows. | 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. | Sequences is specific to IBM Netezza and User to Success Factors — each maps to any object or custom field on the other side. | |
| External tables File-backed load/unload paths used for bulk movement alongside row-level syncs. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | External tables is specific to IBM Netezza and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Databases is specific to IBM Netezza and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables within a database. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Schemas is specific to IBM Netezza and EmpJob to Success Factors — each maps to any object or custom field on the other side. | |
| Tables Distributed tables mapped directly to sync targets. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Tables is specific to IBM Netezza 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.
DetectionStacksync polls IBM Netezza for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
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 IBM Netezza as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Netezza–Success Factors connection.
Changes in IBM Netezza or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Netezza 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 IBM Netezza or Success Factors record.
Track your IBM Netezza ⇄ Success Factors sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Netezza 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 IBM Netezza 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 IBM Netezza 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 IBM Netezza and Success Factors: authenticate both systems, choose the objects to sync (such as IBM Netezza's Materialized views and Sequences), 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 IBM Netezza and Success Factors connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Netezza–Success Factors integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Netezza and Success Factors. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Netezza: Polling with timestamp or key-based cursors; no log-based CDC is exposed. 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 IBM Netezza side: Materialized views, Sequences, External tables, Databases, plus custom fields where IBM Netezza 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.
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Every pair below is a real-time, two-way sync. Search all 439 integrations available for IBM Netezza and Success Factors.