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Data warehouse ⇄ ERP

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

Keep BigQuery 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 BigQuery and Oracle Fusion ERP

Put Oracle Fusion ERP's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Oracle Fusion ERP can use them.

Finance and data teams connect Oracle Fusion ERP to BigQuery to analyze financial operations at warehouse scale. Suppliers, Payables Invoices, and Journal Entries land in BigQuery Tables organized by Dataset, where they can be joined with data from the rest of the business without querying the ERP directly.

Stacksync syncs Receivables Invoices, Purchase Orders, Journal Entries, GL Balances from Oracle Fusion ERP into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Oracle Fusion ERP where that is useful.

Common use cases

  • 01 Report on Receivables Invoices in BigQuery without loading the Fusion ERP reporting layer.
  • 02 Join Customers from Oracle Fusion ERP with product and marketing data already in BigQuery.
  • 03 Keep an auditable warehouse copy of Journal Entries for close and compliance review.
  • 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

Common sync patterns

AP aging analysis

Payables Invoices and Suppliers sync into partitioned BigQuery Tables for aging and cash-flow reporting.

GL consolidation

Journal Entries flow into a BigQuery Dataset that consolidates ledgers across entities.

Procurement spend cube

Purchase Orders replicate to clustered BigQuery Tables for category-level spend analysis.

What you can sync between BigQuery 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.

BigQuery objects Oracle Fusion ERP objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Projects Project and task structures synced with delivery and time-tracking tools. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables The syncable unit: only tables can be synced per the Stacksync docs. GL Balances Account balances read for consolidation and reporting. Tables is specific to BigQuery and GL Balances to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Items Product master data shared with supply chain and commerce systems. Partitioned tables is specific to BigQuery and Items to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Fixed Assets Asset records reconciled with procurement and tracking systems. Clustered tables is specific to BigQuery and Fixed Assets to Oracle Fusion ERP — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Payments Disbursement records read to confirm settlement in upstream tools. Datasets is specific to BigQuery and Payments to Oracle Fusion ERP — each maps to any object or custom field on the other side.

How changes propagate between BigQuery 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.

BigQuery Oracle Fusion ERP Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

Oracle Fusion ERP BigQuery 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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
What ships with BigQuery ⇄ Oracle Fusion ERP

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

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

Real-time

Two-way sync

Changes in BigQuery 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 BigQuery 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 BigQuery or Oracle Fusion ERP record.

Observability

Monitoring

Track your BigQuery ⇄ 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 BigQuery and Oracle Fusion ERP.

How the BigQuery and Oracle Fusion ERP connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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 BigQuery 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 BigQuery 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
    BigQuery connected
    Oracle Fusion ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

BigQuery 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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→ 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 469 integrations available for BigQuery and Oracle Fusion ERP.

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