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Data warehouse ⇄ ERP

BigQuery to Sage X3 integration — real-time, two-way sync

Keep BigQuery and Sage X3 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 Sage X3

Put Sage X3's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Sage X3 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 Sage X3 carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs GL Journals, Deliveries, Business Partners (Customers and Suppliers), Products from Sage X3 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 Sage X3 where that is useful.

Common use cases

  • Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • Replicate GL journals and sales history to a warehouse for multi-company, multi-legislation reporting.
  • Feed work order and BOM data to MES or planning tools on the shop floor.

Where Sage X3 runs operations: order and supply analysis

Operational records become queryable tables in BigQuery, joinable with sales and finance data.

Group reporting across systems

Combine Sage X3's records with data synced from other systems in BigQuery for consolidated views no single system can produce.

Write-back where Sage X3 exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in Sage X3.

What you can sync between BigQuery and Sage X3

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 Sage X3 objects
Datasets Organizational container — you pick which dataset’s tables to sync. Deliveries Shipment documents synced to logistics providers and customer portals.
Projects Connection scope: the service account grants access per project. Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Products Item master with units, costing, and site data, synced to commerce and PLM tools.
Partitioned tables Synced like regular tables; partition columns map to target fields. Sales Orders Order documents written from external channels and read for fulfillment status.
Clustered tables Supported; clustering is transparent to the sync. Purchase Orders Procurement documents synced with supplier-facing systems.
What ships with BigQuery ⇄ Sage X3

Connect BigQuery and Sage X3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Sage X3 connection.

Real-time

Two-way sync

Changes in BigQuery or Sage X3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Sage X3 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 Sage X3 record.

Observability

Monitoring

Track your BigQuery ⇄ Sage X3 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 Sage X3.

How the BigQuery and Sage X3 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

Sage X3

Integration surface
SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem
Authentication
Dedicated web-service user credentials (Basic auth) against configured connection pools
Change detection
Scheduled polling; no general webhook surface on the classic web services layer
Capabilities
read · write
How it works

How to connect BigQuery to Sage X3 — 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 Sage X3 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
    Sage X3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Sage X3 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 ⇄ Sage X3
    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 Sage X3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Sage X3 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
HIPAA BAA
GDPR
CCPA
CSA STAR
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 Sage X3.

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