Two-way sync
Changes in Oracle Fusion Cloud HCM or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle Fusion Cloud HCM and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Oracle Fusion Cloud HCM is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. PostgreSQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Departments (Organizations), Locations, Grades and Salaries, Absences (workerAbsenceEntries) in Oracle Fusion Cloud HCM need to exist as queryable JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL 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 JSONB Columns, Sequences, Custom Types and Enums, Tables in PostgreSQL with Departments (Organizations), Locations, Grades and Salaries, Absences (workerAbsenceEntries) in Oracle Fusion Cloud HCM field by field, in real time. You decide which system owns which fields — Oracle Fusion Cloud HCM 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.
Departments (Organizations), Locations, Grades and Salaries, Absences (workerAbsenceEntries) replicate into PostgreSQL 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 Oracle Fusion Cloud HCM stay consistent in PostgreSQL, 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.
| Oracle Fusion Cloud HCM objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Positions is specific to Oracle Fusion Cloud HCM and Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Departments (Organizations) Org-structure records that define cost centers and reporting lines; typically mastered in HCM and read into other systems. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Departments (Organizations) is specific to Oracle Fusion Cloud HCM and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. | |
| Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Locations is specific to Oracle Fusion Cloud HCM and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Grades and Salaries Grade, grade-rate, and worker compensation records; usually read out for compensation and headcount analytics, and written back for corrections. | Sequences Generate surrogate keys for rows created by inbound syncs. | Grades and Salaries is specific to Oracle Fusion Cloud HCM and Sequences to PostgreSQL — each maps to any object or custom field on the other side. | |
| Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Absences (workerAbsenceEntries) is specific to Oracle Fusion Cloud HCM and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| Workers (publicWorkers) Person master with personNumber, names, national IDs, and work relationships; synced two-way via the /workers resource, which replaced the desupported /emps resource. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Workers (publicWorkers) is specific to Oracle Fusion Cloud HCM and Tables to PostgreSQL — 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 Oracle Fusion Cloud HCM are captured at the source via change data capture — no polling loop against its API. Atom feeds expose changes-only feeds for key events (new hire, termination, assignment change).
DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Oracle Fusion Cloud HCM through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle Fusion Cloud HCM–PostgreSQL connection.
Changes in Oracle Fusion Cloud HCM or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle Fusion Cloud HCM or PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Oracle Fusion Cloud HCM or PostgreSQL record.
Track your Oracle Fusion Cloud HCM ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle Fusion Cloud HCM and PostgreSQL.
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 Oracle Fusion Cloud HCM and PostgreSQL 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 Oracle Fusion Cloud HCM and PostgreSQL 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 Oracle Fusion Cloud HCM and PostgreSQL: authenticate both systems, choose the objects to sync (such as Oracle Fusion Cloud HCM's Positions and Departments (Organizations)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Oracle Fusion Cloud HCM and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Oracle Fusion Cloud HCM: Atom feeds expose changes-only feeds for key events (new hire, termination, assignment change); REST q= filters on LastUpdateDate and HCM Extract in incremental mode cover broader deltas. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the PostgreSQL side: JSONB Columns, Sequences, Custom Types and Enums, Tables, plus custom fields where PostgreSQL exposes them. On the Oracle Fusion Cloud HCM side: Departments (Organizations), Locations, Grades and Salaries, Absences (workerAbsenceEntries). 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.
Common patterns for Oracle Fusion Cloud HCM and PostgreSQL: One directory of record; Reporting and analytics on current data; Org and structure stay aligned. When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
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 544 integrations available for Oracle Fusion Cloud HCM and PostgreSQL.