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Storage ⇄ ERP

Amazon S3 to Oracle Fusion ERP integration — real-time, two-way sync

Keep Amazon S3 and Oracle Fusion ERP 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 Amazon S3 and Oracle Fusion ERP

Move the documents and data that Oracle Fusion ERP produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Oracle Fusion ERP, continuously and without exports or manual filing.

Oracle Fusion ERP runs the business on structured records: GL Balances, Items, Projects, Fixed Assets. Amazon S3 holds files and the metadata that describes them: Object tags, Object versions, Prefixes (folders), Multipart uploads. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Oracle Fusion ERP touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction Oracle Fusion ERP needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.

Stacksync keeps GL Balances, Items, Projects, Fixed Assets in Oracle Fusion ERP and Object tags, Object versions, Prefixes (folders), Multipart uploads in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in Oracle Fusion ERP. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.

The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in Oracle Fusion ERP and the file in Amazon S3 never describe two different versions of the same document.

Common use cases

  • 01 Sync project and task data with delivery tools so time and cost flow back into project accounting.
  • 02 Create payables invoices in Fusion from AP capture or expense tools and sync approval and payment status back.
  • 03 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
  • 04 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.

Common sync patterns

Where Amazon S3 captures inbound files: details reach the record

A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Oracle Fusion ERP, so a document captured outside the finance system still reaches the books.

An archive that stays current

As records change in Oracle Fusion ERP, the corresponding files and metadata in Amazon S3 are kept in step, so a stored document reflects the latest version rather than a stale one-time export.

Audit-ready retention

Every transaction's supporting file lives in Amazon S3 beside its metadata, giving finance and audit teams a complete, searchable trail tied back to the record in Oracle Fusion ERP.

What you can sync between Amazon S3 and Oracle Fusion ERP

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.

Amazon S3 objects Oracle Fusion ERP objects How this pairing syncs
Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. Projects Project and task structures synced with delivery and time-tracking tools. Object metadata is specific to Amazon S3 and Projects to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. Fixed Assets Asset records reconciled with procurement and tracking systems. Object tags is specific to Amazon S3 and Fixed Assets to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. Payments Disbursement records read to confirm settlement in upstream tools. Object versions is specific to Amazon S3 and Payments to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. Suppliers Vendor master data synced with procurement and AP automation systems. Prefixes (folders) is specific to Amazon S3 and Suppliers to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. Customers Receivables customer records aligned with CRM accounts. Multipart uploads is specific to Amazon S3 and Customers to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. Payables Invoices AP invoices created by external capture tools and read for payment status. Buckets is specific to Amazon S3 and Payables Invoices to Oracle Fusion ERP — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and Oracle Fusion ERP

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.

Amazon S3 Oracle Fusion ERP Sub-second propagation

DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.

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

Oracle Fusion ERP Amazon S3 Interval-based propagation

DetectionStacksync polls Oracle Fusion ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on last-updated attributes.

DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
What ships with Amazon S3 ⇄ Oracle Fusion ERP

Connect Amazon S3 and Oracle Fusion ERP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Oracle Fusion ERP connection.

Real-time

Two-way sync

Changes in Amazon S3 or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or Oracle Fusion ERP 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 Amazon S3 or Oracle Fusion ERP record.

Observability

Monitoring

Track your Amazon S3 ⇄ Oracle Fusion ERP sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon S3 and Oracle Fusion ERP.

How the Amazon S3 and Oracle Fusion ERP connectors work

Amazon S3

Integration surface
S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
Authentication
AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.

Oracle Fusion ERP

Integration surface
REST APIs across Financials, Procurement, and Projects, with SOAP web services and scheduled bulk import/export processes (FBDI, BI Publisher) for volume operations
Authentication
OAuth 2.0 with JWT assertions, or basic authentication over TLS for service accounts
Change detection
Polling on last-updated attributes; bulk deltas via scheduled extract processes; business events are available through Oracle's integration eventing rather than plain webhooks
Capabilities
read · write
How it works

How to connect Amazon S3 to Oracle Fusion ERP — 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 Amazon S3 and Oracle Fusion ERP 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
    Amazon S3 connected
    Oracle Fusion ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and Oracle Fusion ERP 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 · Amazon S3 ⇄ Oracle Fusion ERP
    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
    Amazon S3 Oracle Fusion ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 and Oracle Fusion ERP 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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