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

Keep Oracle Fusion Cloud HCM and Redis Enterprise 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 Redis Enterprise

Put your workforce data where your apps can reach it: Redis Enterprise 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. Redis Enterprise is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Grades and Salaries, Absences (workerAbsenceEntries), Workers (publicWorkers), Assignments in Oracle Fusion Cloud HCM need to exist as queryable Lists, Streams, Pub/Sub channels, Search indexes in Redis Enterprise 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 Lists, Streams, Pub/Sub channels, Search indexes in Redis Enterprise with Grades and Salaries, Absences (workerAbsenceEntries), Workers (publicWorkers), Assignments 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 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
  • 02 Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
  • 03 Keep Positions and Departments aligned between Oracle HCM and a finance/ERP system so cost centers and reporting structures match.
  • 04 Sync Absences (workerAbsenceEntries) into a scheduling or workforce-management database for coverage planning.

Common sync patterns

Org and structure stay aligned

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

Computed and operational fields flow back

Values assembled or corrected in Redis Enterprise 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 Lists, Streams, Pub/Sub channels, Search indexes in Redis Enterprise, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Oracle Fusion Cloud HCM and Redis Enterprise

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 Redis Enterprise objects How this pairing syncs
Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. Locations is specific to Oracle Fusion Cloud HCM and Sorted Sets to Redis Enterprise — 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. Lists Ordered sequences often used as lightweight queues fed by sync events. Grades and Salaries is specific to Oracle Fusion Cloud HCM and Lists to Redis Enterprise — 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. Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. Absences (workerAbsenceEntries) is specific to Oracle Fusion Cloud HCM and Streams to Redis Enterprise — 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. Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. Workers (publicWorkers) is specific to Oracle Fusion Cloud HCM and Pub/Sub channels to Redis Enterprise — 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. Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. Assignments is specific to Oracle Fusion Cloud HCM and Search indexes to Redis Enterprise — 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. Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. Jobs is specific to Oracle Fusion Cloud HCM and Keys (Strings) to Redis Enterprise — each maps to any object or custom field on the other side.

How changes propagate between Oracle Fusion Cloud HCM and Redis Enterprise

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 Redis Enterprise 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 Redis Enterprise as a row-level write, with types converted between the two schemas.

Redis Enterprise Oracle Fusion Cloud HCM Interval-based propagation

DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.

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.
  • Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Oracle Fusion Cloud HCM ⇄ Redis Enterprise

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

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

Real-time

Two-way sync

Changes in Oracle Fusion Cloud HCM or Redis Enterprise 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 Redis Enterprise 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 Redis Enterprise record.

Observability

Monitoring

Track your Oracle Fusion Cloud HCM ⇄ Redis Enterprise 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 Redis Enterprise.

How the Oracle Fusion Cloud HCM and Redis Enterprise 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.

Redis Enterprise

Integration surface
Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
Authentication
Password or ACL-based credentials, typically over TLS
Change detection
Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
Capabilities
read · write
Rate limits
Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works

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

    Choose tables

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

Oracle Fusion Cloud HCM and Redis Enterprise 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 433 integrations available for Oracle Fusion Cloud HCM and Redis Enterprise.

Popular · 8 of 433
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