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Oracle Fusion Cloud HCM to Postgres Heroku integration — real-time, two-way sync

Keep Oracle Fusion Cloud HCM and Postgres Heroku 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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Why teams connect Oracle Fusion Cloud HCM and Postgres Heroku

Put your workforce data where your apps can reach it: Postgres Heroku and Oracle Fusion Cloud HCM share the same people, positions, and org structure in real time.

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. Postgres Heroku 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 Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases in Postgres Heroku 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 Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases in Postgres Heroku 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.

Common use cases

  • 01 Keep several Heroku app databases aligned with one system of record
  • 02 Reflect billing and subscription records into the app database so product logic reads local rows
  • 03 Sync Absences (workerAbsenceEntries) into a scheduling or workforce-management database for coverage planning.
  • 04 Two-way sync Workers and Assignments with an operational Postgres so internal apps read reporting lines, departments, and locations in SQL while HR keeps mastering data in Oracle HCM.

Common sync patterns

Reporting and analytics on current data

Departments (Organizations), Locations, Grades and Salaries, Absences (workerAbsenceEntries) replicate into Postgres Heroku where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Oracle Fusion Cloud HCM stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Postgres Heroku write onto the matching record in Oracle Fusion Cloud HCM where those fields are writable, keeping the people system enriched.

What you can sync between Oracle Fusion Cloud HCM and Postgres Heroku

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 Postgres Heroku objects How this pairing syncs
Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Absences (workerAbsenceEntries) is specific to Oracle Fusion Cloud HCM and Follower Databases to Postgres Heroku — 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 Standard Postgres tables; the primary two-way sync target for app data. Workers (publicWorkers) is specific to Oracle Fusion Cloud HCM and Tables to Postgres Heroku — each maps to any object or custom field on the other side.
Assignments Child of a worker's work relationship carrying job, position, department, location, grade, and manager; effective-dated, so writes go through PATCH with an effective date. Views Read-side projections exposed to outbound syncs. Assignments is specific to Oracle Fusion Cloud HCM and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Jobs Job catalog reference data; commonly read out to align titles and job codes in a warehouse or written to keep downstream systems consistent. Materialized Views Precomputed result sets synced outward on refresh. Jobs is specific to Oracle Fusion Cloud HCM and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. Schemas Namespaces that scope which tables a sync reads and writes. Positions is specific to Oracle Fusion Cloud HCM and Schemas to Postgres Heroku — 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 Match keys for idempotent upserts from connected systems. Departments (Organizations) is specific to Oracle Fusion Cloud HCM and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Oracle Fusion Cloud HCM and Postgres Heroku

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.

Oracle Fusion Cloud HCM Postgres Heroku Sub-second propagation

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 Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Oracle Fusion Cloud HCM Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

DeliveryEach detected change is written to Oracle Fusion Cloud HCM through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Oracle Fusion Cloud HCM: Oracle publishes no fixed per-tenant REST rate limit; pages are capped via limit/offset and Oracle recommends client-side throttling, backoff, and using HDL for mass loads rather than transactional REST.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Oracle Fusion Cloud HCM ⇄ Postgres Heroku

Connect Oracle Fusion Cloud HCM and Postgres Heroku for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle Fusion Cloud HCM–Postgres Heroku connection.

Real-time

Two-way sync

Changes in Oracle Fusion Cloud HCM or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Oracle Fusion Cloud HCM or Postgres Heroku 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 Oracle Fusion Cloud HCM or Postgres Heroku record.

Observability

Monitoring

Track your Oracle Fusion Cloud HCM ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Oracle Fusion Cloud HCM and Postgres Heroku.

How the Oracle Fusion Cloud HCM and Postgres Heroku connectors work

Oracle Fusion Cloud HCM

Integration surface
REST API (/hcmRestApi/resources), Atom feeds, and HCM Data Loader (HDL) for bulk
Authentication
OAuth 2.0 bearer tokens via Oracle Identity Cloud Service (IDCS/IAM); HTTP Basic and SAML/JWT bearer over SSL are also accepted, enforced by Oracle Web Services Manager (OWSM)
Change detection
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
Capabilities
read · write · CDC
Rate limits
Oracle publishes no fixed per-tenant REST rate limit; pages are capped via limit/offset and Oracle recommends client-side throttling, backoff, and using HDL for mass loads rather than transactional REST.

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect Oracle Fusion Cloud HCM to Postgres Heroku — 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 Oracle Fusion Cloud HCM and Postgres Heroku 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
    Oracle Fusion Cloud HCM connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Oracle Fusion Cloud HCM and Postgres Heroku 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 · Oracle Fusion Cloud HCM ⇄ Postgres Heroku
    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
    Oracle Fusion Cloud HCM Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Oracle Fusion Cloud HCM and Postgres Heroku 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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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 447 integrations available for Oracle Fusion Cloud HCM and Postgres Heroku.

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