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Database ⇄ Human resources

Neo4j to Oracle Fusion Cloud HCM integration — real-time, two-way sync

Keep Neo4j 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.

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Why teams connect Neo4j and Oracle Fusion Cloud HCM

Put your workforce data where your apps can reach it: Neo4j 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. Neo4j is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Jobs, Positions, Departments (Organizations), Locations in Oracle Fusion Cloud HCM need to exist as queryable Relationships, Properties, Labels, Indexes & Constraints in Neo4j 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 Relationships, Properties, Labels, Indexes & Constraints in Neo4j with Jobs, Positions, Departments (Organizations), Locations 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 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
  • 02 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • 03 Provision identities and app access downstream when an Atom new-hire or termination feed event fires, joining Workers, Assignments, Departments, and Locations.
  • 04 Replicate Grades and Salaries into a warehouse for compensation and headcount analytics without exporting HDL files.

Common sync patterns

Computed and operational fields flow back

Values assembled or corrected in Neo4j 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 Relationships, Properties, Labels, Indexes & Constraints in Neo4j, 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 Neo4j 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.

Neo4j objects Oracle Fusion Cloud HCM objects How this pairing syncs
Relationships Typed, directed edges that carry the connections syncs exist to model. Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. Relationships is specific to Neo4j and Locations to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Properties Key-value attributes on both nodes and relationships, mapped from source fields. Grades and Salaries Grade, grade-rate, and worker compensation records; usually read out for compensation and headcount analytics, and written back for corrections. Properties is specific to Neo4j and Grades and Salaries to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Labels Node type markers used to map source tables or objects onto the graph. Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. Labels is specific to Neo4j and Absences (workerAbsenceEntries) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. 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. Indexes & Constraints is specific to Neo4j and Workers (publicWorkers) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. 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. Databases is specific to Neo4j and Assignments to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Users & Roles Security principals controlling what an integration credential can query or modify. Jobs Job catalog reference data; commonly read out to align titles and job codes in a warehouse or written to keep downstream systems consistent. Users & Roles is specific to Neo4j and Jobs to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.

How changes propagate between Neo4j 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.

Neo4j Oracle Fusion Cloud HCM Sub-second propagation

DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.

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

Oracle Fusion Cloud HCM Neo4j 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 written to Neo4j 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.
What ships with Neo4j ⇄ Oracle Fusion Cloud HCM

Connect Neo4j and Oracle Fusion Cloud HCM for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Oracle Fusion Cloud HCM connection.

Real-time

Two-way sync

Changes in Neo4j 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 Neo4j 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 Neo4j or Oracle Fusion Cloud HCM record.

Observability

Monitoring

Track your Neo4j ⇄ 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 Neo4j and Oracle Fusion Cloud HCM.

How the Neo4j and Oracle Fusion Cloud HCM connectors work

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC

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 Neo4j 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 Neo4j 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
    Neo4j connected
    Oracle Fusion Cloud HCM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j 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 · Neo4j ⇄ 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
    Neo4j Oracle Fusion Cloud HCM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Neo4j 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.

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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

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