Two-way sync
Changes in Oracle Fusion ERP or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle Fusion ERP and Snowflake 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 is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Oracle Fusion ERP carries financials, operations, workforce data, or all three, the analysis belongs in Snowflake next to everything else the company measures.
Stacksync syncs Payments, Suppliers, Customers, Payables Invoices from Oracle Fusion ERP into tables in Snowflake continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Snowflake can be written back to fields in Oracle Fusion ERP where that is useful.
Worker and organization data syncs into Snowflake for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Snowflake, joinable with sales and finance data.
Combine Oracle Fusion ERP's records with data synced from other systems in Snowflake for consolidated views no single system can produce.
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 | Snowflake objects | |
|---|---|---|
| Projects Project and task structures synced with delivery and time-tracking tools. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Fixed Assets Asset records reconciled with procurement and tracking systems. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Payments Disbursement records read to confirm settlement in upstream tools. | Stages File staging areas used for bulk loads into synced tables. | |
| Suppliers Vendor master data synced with procurement and AP automation systems. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Customers Receivables customer records aligned with CRM accounts. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Payables Invoices AP invoices created by external capture tools and read for payment status. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle Fusion ERP–Snowflake connection.
Changes in Oracle Fusion ERP or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle Fusion ERP or Snowflake 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 Snowflake record.
Track your Oracle Fusion ERP ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle Fusion ERP and Snowflake.
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 Snowflake 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 Snowflake 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 Snowflake: authenticate both systems, choose the objects to sync (such as Oracle Fusion ERP's Projects and Fixed Assets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Snowflake side: Views, Materialized Views, Streams, Stages, plus custom fields where Snowflake exposes them. On the Oracle Fusion ERP side: Payments, Suppliers, Customers, Payables Invoices. 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 Snowflake: Where Oracle Fusion ERP is the HR system of record: workforce analytics; Where Oracle Fusion ERP runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Snowflake for headcount, cost, and planning analysis alongside other company data.
Oracle Fusion ERP: 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. Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
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 Snowflake.