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Database ⇄ Human resources

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

Keep Google Cloud SQL 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 Google Cloud SQL and Oracle Fusion Cloud HCM

Put your workforce data where your apps can reach it: Google Cloud SQL 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. Google Cloud SQL 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 Schemas, Tables, Rows, Views in Google Cloud SQL 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 Schemas, Tables, Rows, Views in Google Cloud SQL 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 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 03 Replicate Grades and Salaries into a warehouse for compensation and headcount analytics without exporting HDL files.
  • 04 Keep Positions and Departments aligned between Oracle HCM and a finance/ERP system so cost centers and reporting structures match.

Common sync patterns

Org and structure stay aligned

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

Computed and operational fields flow back

Values assembled or corrected in Google Cloud SQL 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 Schemas, Tables, Rows, Views in Google Cloud SQL, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Google Cloud SQL 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.

Google Cloud SQL objects Oracle Fusion Cloud HCM objects How this pairing syncs
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Grades and Salaries Grade, grade-rate, and worker compensation records; usually read out for compensation and headcount analytics, and written back for corrections. Instances is specific to Google Cloud SQL and Grades and Salaries to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Absences (workerAbsenceEntries) Time-off and leave entries; synced into scheduling or workforce-management databases for coverage planning. Databases is specific to Google Cloud SQL and Absences (workerAbsenceEntries) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. 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. Schemas is specific to Google Cloud SQL and Workers (publicWorkers) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. 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. Tables is specific to Google Cloud SQL and Assignments to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Jobs Job catalog reference data; commonly read out to align titles and job codes in a warehouse or written to keep downstream systems consistent. Rows is specific to Google Cloud SQL and Jobs to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. Views is specific to Google Cloud SQL and Positions to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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.

Google Cloud SQL Oracle Fusion Cloud HCM Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

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

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 Google Cloud SQL ⇄ Oracle Fusion Cloud HCM

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL or Oracle Fusion Cloud HCM record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ 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 Google Cloud SQL and Oracle Fusion Cloud HCM.

How the Google Cloud SQL and Oracle Fusion Cloud HCM connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

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

    Choose tables

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

Google Cloud SQL 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 434 integrations available for Google Cloud SQL and Oracle Fusion Cloud HCM.

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