Two-way sync
Changes in Success Factors or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep Success Factors and Vertica 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 Vertica next to everything else the company measures.
Stacksync syncs EmpJob, EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position from Success Factors into tables in Vertica continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Vertica, 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.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in Vertica gives you a durable, queryable record of how Success Factors's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Vertica sync back onto the matching records in Success Factors, where the HR team sees them in the system they already use.
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.
| Success Factors objects | Vertica objects | How this pairing syncs | |
|---|---|---|---|
| EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Tables Columnar tables; the primary read and write targets for syncs. | EmpCompensation is specific to Success Factors and Tables to Vertica — each maps to any object or custom field on the other side. | |
| 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. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Foundation Objects (FODepartment, FOLocation, FOCostCenter) is specific to Success Factors and Projections to Vertica — each maps to any object or custom field on the other side. | |
| Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | Views Logical views used to shape reads for downstream consumers. | Position is specific to Success Factors and Views to Vertica — each maps to any object or custom field on the other side. | |
| PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | PerEmail and PerPhone is specific to Success Factors and Flex Tables to Vertica — each maps to any object or custom field on the other side. | |
| 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. | External Tables Data queried in place on files or object storage without loading. | User is specific to Success Factors and External Tables to Vertica — each maps to any object or custom field on the other side. | |
| PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Schemas Namespaces used to organize synced datasets by domain or source. | PerPerson is specific to Success Factors and Schemas to Vertica — 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.
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 Vertica as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Success Factors–Vertica connection.
Changes in Success Factors or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Success Factors or Vertica data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Success Factors or Vertica record.
Track your Success Factors ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Success Factors and Vertica.
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 Success Factors and Vertica 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 Success Factors and Vertica 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 Success Factors and Vertica: authenticate both systems, choose the objects to sync (such as Success Factors's EmpCompensation and Foundation Objects (FODepartment, FOLocation, FOCostCenter)), 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 Success Factors and Vertica connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Success Factors–Vertica integration in-house.
Yes — Stacksync ships production-grade connectors for both Success Factors and Vertica. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Vertica: No exposed transaction-log CDC; polling on timestamp or epoch columns. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Vertica side: Tables, Projections, Views, Flex Tables, plus custom fields where Vertica exposes them. On the Success Factors side: EmpJob, EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position. 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 438 integrations available for Success Factors and Vertica.