Two-way sync
Changes in AWS Aurora PostgreSQL or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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.
Connecting AWS Aurora PostgreSQL to Oracle Fusion ERP puts financial records — Suppliers, Payables Invoices, Journal Entries — into a relational store that engineering and analytics teams already know. Fusion objects become Aurora tables and rows, so procure-to-pay and record-to-report data is available to SQL without going through Fusion's APIs.
Stacksync mirrors Payments, Suppliers, Customers, Payables Invoices from Oracle Fusion ERP into AWS Aurora PostgreSQL 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 PostgreSQL sync back into Oracle Fusion ERP with its validations respected.
Oracle Fusion Payables Invoices and Purchase Orders sync into Aurora tables for spend analysis in SQL.
Journal Entries created as Aurora rows flow into Oracle Fusion for posting.
Fusion Suppliers and Customers stay consistent with the Aurora schemas that internal applications read.
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 PostgreSQL objects | Oracle Fusion ERP objects | How this pairing syncs | |
|---|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | Fixed Assets Asset records reconciled with procurement and tracking systems. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Fixed Assets to Oracle Fusion ERP — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Payments Disbursement records read to confirm settlement in upstream tools. | Databases and schemas is specific to AWS Aurora PostgreSQL and Payments to Oracle Fusion ERP — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Suppliers Vendor master data synced with procurement and AP automation systems. | Tables is specific to AWS Aurora PostgreSQL and Suppliers to Oracle Fusion ERP — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Customers Receivables customer records aligned with CRM accounts. | Rows is specific to AWS Aurora PostgreSQL and Customers to Oracle Fusion ERP — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Payables Invoices AP invoices created by external capture tools and read for payment status. | Columns is specific to AWS Aurora PostgreSQL and Payables Invoices to Oracle Fusion ERP — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Receivables Invoices Billing documents synced outward for collections and CRM visibility. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Receivables Invoices to Oracle Fusion ERP — 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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Oracle Fusion ERP through its API, with automatic retries and rate-limit backoff.
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 PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Oracle Fusion ERP connection.
Changes in AWS Aurora PostgreSQL or Oracle Fusion ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Oracle Fusion ERP data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Oracle Fusion ERP record.
Track your AWS Aurora PostgreSQL ⇄ Oracle Fusion ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Oracle Fusion ERP.
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 AWS Aurora PostgreSQL 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.
Pick the AWS Aurora PostgreSQL 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.
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 AWS Aurora PostgreSQL and Oracle Fusion ERP: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Replication slots and publications and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Oracle Fusion ERP: Financial writes respect Fusion's processing model: many documents enter as interface records and are validated by scheduled processes before posting, so sync status must be confirmed after import. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Oracle Fusion ERP 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 AWS Aurora PostgreSQL and Oracle Fusion ERP records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Oracle Fusion ERP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Oracle Fusion ERP integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Oracle Fusion ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Oracle Fusion ERP: Polling on last-updated attributes; bulk deltas via scheduled extract processes; business events are available through Oracle's integration eventing rather than plain webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 381 integrations available for AWS Aurora PostgreSQL and Oracle Fusion ERP.