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Data warehouse ⇄ Human resources

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

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

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Why teams connect Materialize and Oracle Fusion Cloud HCM

Land the people and organization records from Oracle Fusion Cloud HCM in Materialize as live tables for workforce reporting, without extract jobs, and write computed results back where Oracle Fusion Cloud HCM can use them.

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 Oracle Fusion Cloud HCM is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Materialize next to everything else the company measures.

Stacksync syncs Assignments, Jobs, Positions, Departments (Organizations) from Oracle Fusion Cloud HCM into tables in Materialize continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Materialize, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Oracle Fusion Cloud HCM where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • 02 Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • 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

Queryable history for planning and audit

A continuously synced copy in Materialize gives you a durable, queryable record of how Oracle Fusion Cloud HCM's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Materialize sync back onto the matching records in Oracle Fusion Cloud HCM, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Oracle Fusion Cloud HCM arrive in Materialize as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

What you can sync between Materialize 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.

Materialize objects Oracle Fusion Cloud HCM objects How this pairing syncs
Indexes In-memory arrangements that make view reads fast for serving workloads. Jobs Job catalog reference data; commonly read out to align titles and job codes in a warehouse or written to keep downstream systems consistent. Indexes is specific to Materialize and Jobs to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Clusters Compute pools that isolate ingestion, view maintenance, and serving. Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. Clusters is specific to Materialize and Positions to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Connections & Secrets Stored credentials and endpoints used by sources and sinks. Departments (Organizations) Org-structure records that define cost centers and reporting lines; typically mastered in HCM and read into other systems. Connections & Secrets is specific to Materialize and Departments (Organizations) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Schemas & Databases Namespaces that organize objects a sync targets. Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. Schemas & Databases is specific to Materialize and Locations to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Grades and Salaries Grade, grade-rate, and worker compensation records; usually read out for compensation and headcount analytics, and written back for corrections. Tables is specific to Materialize and Grades and Salaries to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. Sources is specific to Materialize and Absences (workerAbsenceEntries) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.

How changes propagate between Materialize 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.

Materialize Oracle Fusion Cloud HCM Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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

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

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 Materialize ⇄ Oracle Fusion Cloud HCM

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

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

Real-time

Two-way sync

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

Observability

Monitoring

Track your Materialize ⇄ 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 Materialize and Oracle Fusion Cloud HCM.

How the Materialize and Oracle Fusion Cloud HCM connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
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 Materialize 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 Materialize 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
    Materialize connected
    Oracle Fusion Cloud HCM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Materialize 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

Every pair below is a real-time, two-way sync. Search all 436 integrations available for Materialize and Oracle Fusion Cloud HCM.

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