Two-way sync
Changes in Azure Synapse Analytics or Oracle Fusion Cloud HCM instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
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 Azure Synapse Analytics next to everything else the company measures.
Stacksync syncs Positions, Departments (Organizations), Locations, Grades and Salaries from Oracle Fusion Cloud HCM into tables in Azure Synapse Analytics continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Azure Synapse Analytics, 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.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in Azure Synapse Analytics gives you a durable, queryable record of how Oracle Fusion Cloud HCM's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Azure Synapse Analytics sync back onto the matching records in Oracle Fusion Cloud HCM, where the HR team sees them in the system they already use.
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.
| Azure Synapse Analytics objects | Oracle Fusion Cloud HCM objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | 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. | Materialized views is specific to Azure Synapse Analytics and Workers (publicWorkers) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | 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. | SQL pools is specific to Azure Synapse Analytics and Assignments to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics 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. | Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Jobs to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Positions Position-management records used where positions control headcount; synced to keep vacancy and reporting structures aligned with finance/ERP. | External tables is specific to Azure Synapse Analytics and Positions to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Departments (Organizations) Org-structure records that define cost centers and reporting lines; typically mastered in HCM and read into other systems. | Views is specific to Azure Synapse Analytics and Departments (Organizations) to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Locations Physical work locations referenced by assignments; synced so downstream provisioning and directory tools resolve the same location codes. | Schemas is specific to Azure Synapse Analytics and Locations to Oracle Fusion Cloud HCM — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
DeliveryEach detected change is written to Oracle Fusion Cloud HCM through its API, with automatic retries and rate-limit backoff.
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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Oracle Fusion Cloud HCM connection.
Changes in Azure Synapse Analytics or Oracle Fusion Cloud HCM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Oracle Fusion Cloud HCM data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Synapse Analytics or Oracle Fusion Cloud HCM record.
Track your Azure Synapse Analytics ⇄ Oracle Fusion Cloud HCM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Oracle Fusion Cloud HCM.
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.
Authenticate Azure Synapse Analytics 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.
Pick the Azure Synapse Analytics 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Synapse Analytics and Oracle Fusion Cloud HCM: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Materialized views and SQL pools), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Azure Synapse Analytics and Oracle Fusion Cloud HCM: Fresh data instead of last night's load; Queryable history for planning and audit; Write-back of computed values. Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Oracle Fusion Cloud HCM: 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). Stacksync manages authentication, retries, and rate limits on both sides.
Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. Oracle Fusion Cloud HCM: Transactional REST is not optimized for mass loads; initial workforce loads and mass corrections should use HCM Data Loader (HDL), with REST reserved for incremental lookups and updates. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and Oracle Fusion Cloud HCM without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Synapse Analytics and Oracle Fusion Cloud HCM records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 540 integrations available for Azure Synapse Analytics and Oracle Fusion Cloud HCM.