Two-way sync
Changes in Oracle Fusion ERP or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle Fusion ERP and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Payables Invoices, Receivables Invoices, Purchase Orders, Journal Entries from Oracle Fusion ERP into Postgres Heroku 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 Postgres Heroku sync back into Oracle Fusion ERP with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Oracle Fusion ERP interface, limits, and retries.
Updates in Oracle Fusion ERP arrive as row changes in Postgres Heroku, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Postgres Heroku for provisioning, access, and reporting systems that read from the database.
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.
| Oracle Fusion ERP objects | Postgres Heroku objects | |
|---|---|---|
| Receivables Invoices Billing documents synced outward for collections and CRM visibility. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Purchase Orders Procurement documents exchanged with supplier portals and sourcing tools. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Journal Entries GL journals imported from subledgers and external systems. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| GL Balances Account balances read for consolidation and reporting. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Items Product master data shared with supply chain and commerce systems. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Projects Project and task structures synced with delivery and time-tracking tools. | Tables Standard Postgres tables; the primary two-way sync target for app data. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle Fusion ERP–Postgres Heroku connection.
Changes in Oracle Fusion ERP or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle Fusion ERP or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Oracle Fusion ERP or Postgres Heroku record.
Track your Oracle Fusion ERP ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle Fusion ERP and Postgres Heroku.
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 Oracle Fusion ERP and Postgres Heroku 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 Oracle Fusion ERP and Postgres Heroku 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 Oracle Fusion ERP and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Oracle Fusion ERP's Receivables Invoices and Purchase Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Oracle Fusion ERP and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views, plus custom fields where Postgres Heroku exposes them. On the Oracle Fusion ERP side: Payables Invoices, Receivables Invoices, Purchase Orders, Journal Entries. Stacksync auto-detects both schemas and converts types between the two systems.
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 Oracle Fusion ERP and Postgres Heroku: Internal tools and automations without API code; React to ERP changes; Where Oracle Fusion ERP is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Oracle Fusion ERP interface, limits, and retries.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Oracle Fusion ERP and Postgres Heroku.