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Data warehouse ⇄ ERP

BigQuery to Infor CloudSuite integration — real-time, two-way sync

Keep BigQuery and Infor CloudSuite in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect BigQuery and Infor CloudSuite

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

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 Infor CloudSuite carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs Items, Customers, Suppliers / vendors, Sales orders from Infor CloudSuite 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 Infor CloudSuite where that is useful.

Common use cases

  • Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • Keep supplier and purchase order data aligned with procurement and AP automation tools.
  • Align the ERP customer master with billing and support systems so finance and CX share one account record.

Group reporting across systems

Combine Infor CloudSuite's records with data synced from other systems in BigQuery for consolidated views no single system can produce.

Write-back where Infor CloudSuite exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in Infor CloudSuite.

Where Infor CloudSuite holds the books: finance reporting from live data

Financial records land in BigQuery as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between BigQuery and Infor CloudSuite

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 Infor CloudSuite objects
Projects Connection scope: the service account grants access per project. Sales orders Demand-side documents synced in from commerce channels and out for fulfillment visibility.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Purchase orders Supply-side documents shared with procurement and supplier portals.
Partitioned tables Synced like regular tables; partition columns map to target fields. Invoices Billing documents synced to finance and reporting systems.
Clustered tables Supported; clustering is transparent to the sync. Inventory balances On-hand quantities exposed so external channels quote against real stock.
Datasets Organizational container — you pick which dataset’s tables to sync. GL journal entries Financial postings replicated for consolidated reporting.
What ships with BigQuery ⇄ Infor CloudSuite

Connect BigQuery and Infor CloudSuite for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Infor CloudSuite connection.

Real-time

Two-way sync

Changes in BigQuery or Infor CloudSuite instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Infor CloudSuite 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 Infor CloudSuite record.

Observability

Monitoring

Track your BigQuery ⇄ Infor CloudSuite 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 Infor CloudSuite.

How the BigQuery and Infor CloudSuite 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

Infor CloudSuite

Integration surface
REST APIs exposed through the Infor ION API gateway; integration payloads are standardized as Business Object Documents (BODs)
Authentication
OAuth 2.0 via Infor OS / ION API credentials
Change detection
Event-style BOD publications through Infor ION where configured; otherwise polling
Capabilities
read · write
Rate limits
Subject to the ION API gateway's rate limiting policies for the tenant.
How it works

How to connect BigQuery to Infor CloudSuite — 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 Infor CloudSuite 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
    Infor CloudSuite connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Infor CloudSuite 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 ⇄ Infor CloudSuite
    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 Infor CloudSuite
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Infor CloudSuite integration FAQ

SECURITY

Security teams love 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
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GDPR
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DPF US-EU-UK-CH
→ 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 386 integrations available for BigQuery and Infor CloudSuite.

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