Skip to content
Database ⇄ Human resources

Amazon Aurora to Oracle Fusion Cloud HCM integration — real-time, two-way sync

Keep Amazon Aurora and Oracle Fusion Cloud HCM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Aurora and Oracle Fusion Cloud HCM

Put your workforce data where your apps can reach it: Amazon Aurora 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. Amazon Aurora is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Assignments, Jobs, Positions, Departments (Organizations) in Oracle Fusion Cloud HCM need to exist as queryable Read Replicas, Databases, Schemas, Tables in Amazon Aurora 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 Read Replicas, Databases, Schemas, Tables in Amazon Aurora with Assignments, Jobs, Positions, Departments (Organizations) 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 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 02 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 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

Computed and operational fields flow back

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

Mirror people records into the database

Records maintained in Oracle Fusion Cloud HCM land as queryable Read Replicas, Databases, Schemas, Tables in Amazon Aurora, so internal apps and dashboards read live data instead of a periodic export.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

What you can sync between Amazon Aurora and Oracle Fusion Cloud HCM

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.

Amazon Aurora objects Oracle Fusion Cloud HCM objects How this pairing syncs
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. Primary and Foreign Keys is specific to Amazon Aurora and Positions to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Departments (Organizations) Org-structure records that define cost centers and reporting lines; typically mastered in HCM and read into other systems. Read Replicas is specific to Amazon Aurora and Departments (Organizations) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. Databases is specific to Amazon Aurora and Locations to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Grades and Salaries Grade, grade-rate, and worker compensation records; usually read out for compensation and headcount analytics, and written back for corrections. Schemas is specific to Amazon Aurora and Grades and Salaries to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. Tables is specific to Amazon Aurora and Absences (workerAbsenceEntries) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. 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. Views is specific to Amazon Aurora and Workers (publicWorkers) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Oracle Fusion Cloud HCM

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.

Amazon Aurora Oracle Fusion Cloud HCM Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Oracle Fusion Cloud HCM Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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.
What ships with Amazon Aurora ⇄ Oracle Fusion Cloud HCM

Connect Amazon Aurora and Oracle Fusion Cloud HCM for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Oracle Fusion Cloud HCM 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 Amazon Aurora or Oracle Fusion Cloud HCM record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Oracle Fusion Cloud HCM.

How the Amazon Aurora and Oracle Fusion Cloud HCM connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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.
How it works

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

    Choose tables

    Pick the Amazon Aurora and Oracle Fusion Cloud HCM 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 · Amazon Aurora ⇄ Oracle Fusion Cloud HCM
    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
    Amazon Aurora Oracle Fusion Cloud HCM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Aurora and Oracle Fusion Cloud HCM 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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 433 integrations available for Amazon Aurora and Oracle Fusion Cloud HCM.

Popular · 7 of 433
All Amazon Aurora integrations All Oracle Fusion Cloud HCM integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own