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Database ⇄ ERP

AWS Aurora MySQL to Oracle Fusion ERP integration — real-time, two-way sync

Keep AWS Aurora MySQL 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Oracle Fusion ERP

Give your engineers Oracle Fusion ERP's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

Connecting AWS Aurora MySQL to Oracle Fusion ERP gives engineering and finance teams a SQL-accessible copy of financial records. Suppliers, Payables Invoices, and Journal Entries replicate into Aurora Tables and Rows, so procurement and accounting data can be queried and updated without building directly against the Oracle Fusion ERP API.

Stacksync mirrors Payments, Suppliers, Customers, Payables Invoices from Oracle Fusion ERP into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Oracle Fusion ERP is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora MySQL sync back into Oracle Fusion ERP with its validations respected.

Common use cases

  • 01 Reconcile Receivables Invoices against payment data already stored in Aurora using plain SQL joins.
  • 02 Serve procurement applications from Aurora Views over synced Purchase Orders rather than direct Fusion API calls.
  • 03 Maintain one supplier master: edits to Supplier records in either system propagate to the other.
  • 04 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.

Common sync patterns

Payables data warehouse

Payables Invoices and Purchase Orders from Oracle Fusion ERP sync into Aurora Tables for reconciliation queries.

Supplier master sync

Supplier and Customer records replicate to Aurora Rows and write back when updated by internal applications.

Journal entry pipeline

Journal Entries generated as Aurora Rows by upstream systems flow into Oracle Fusion ERP.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Oracle Fusion ERP objects How this pairing syncs
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Purchase Orders Procurement documents exchanged with supplier portals and sourcing tools. Foreign keys is specific to AWS Aurora MySQL and Purchase Orders to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Journal Entries GL journals imported from subledgers and external systems. Stored procedures and triggers is specific to AWS Aurora MySQL and Journal Entries to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. GL Balances Account balances read for consolidation and reporting. Databases (schemas) is specific to AWS Aurora MySQL and GL Balances to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Items Product master data shared with supply chain and commerce systems. Tables is specific to AWS Aurora MySQL and Items to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Projects Project and task structures synced with delivery and time-tracking tools. Rows is specific to AWS Aurora MySQL and Projects to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Fixed Assets Asset records reconciled with procurement and tracking systems. Columns is specific to AWS Aurora MySQL and Fixed Assets to Oracle Fusion ERP — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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.

AWS Aurora MySQL Oracle Fusion ERP Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

Oracle Fusion ERP AWS Aurora MySQL 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 applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

What ships with AWS Aurora MySQL ⇄ Oracle Fusion ERP

Connect AWS Aurora MySQL and Oracle Fusion ERP for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL or Oracle Fusion ERP record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 AWS Aurora MySQL and Oracle Fusion ERP.

How the AWS Aurora MySQL and Oracle Fusion ERP connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Oracle Fusion ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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
    AWS Aurora MySQL Oracle Fusion ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
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→ SECURITY WITH BENEFITS

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 379 integrations available for AWS Aurora MySQL and Oracle Fusion ERP.

Popular · 5 of 379
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