Real-time
Two-way sync
Changes in BigQuery or Blue Yonder WMS instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to Blue Yonder WMS integration — real-time, two-way sync
Keep BigQuery and Blue Yonder WMS 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
Case study
Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect BigQuery and Blue Yonder WMS
Put Blue Yonder WMS's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Blue Yonder WMS 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 Blue Yonder WMS carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Items / SKUs, Inventory balances, Inbound shipments (ASNs), Purchase orders from Blue Yonder WMS 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 Blue Yonder WMS where that is useful.
Common use cases
- Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
- Feed ML feature tables in BigQuery from operational systems on a continuous schedule
- Feed shipment events into a customer-facing database for order tracking.
- Sync purchase orders from an ERP into Blue Yonder WMS as expected receipts, and write confirmed receipts back.
Where Blue Yonder WMS runs operations: order and supply analysis
Operational records become queryable tables in BigQuery, joinable with sales and finance data.
Group reporting across systems
Combine Blue Yonder WMS's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
Write-back where Blue Yonder WMS exposes writable fields
Classifications or reference values computed in BigQuery sync back onto the corresponding records in Blue Yonder WMS.
What you can sync between BigQuery and Blue Yonder WMS
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 | Blue Yonder WMS objects | |
|---|---|---|
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Receipts Confirmed inbound quantities written back to close purchase order lines. | |
| Clustered tables Supported; clustering is transparent to the sync. | Items / SKUs Product master records that must match the ERP item master for warehouse operations to reconcile. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Inventory balances On-hand quantities by location and lot, synced outward for availability and planning. | |
| Projects Connection scope: the service account grants access per project. | Inbound shipments (ASNs) Advance ship notices created from purchase orders to drive receiving. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Purchase orders Expected receipts pushed from the ERP so the warehouse can plan inbound work. |
What ships with BigQuery ⇄ Blue Yonder WMS
Connect BigQuery and Blue Yonder WMS for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Blue Yonder WMS connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Blue Yonder WMS 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 Blue Yonder WMS record.
Observability
Monitoring
Track your BigQuery ⇄ Blue Yonder WMS 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 Blue Yonder WMS.
How the BigQuery and Blue Yonder WMS 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
Blue Yonder WMS
- Integration surface
- REST APIs on Blue Yonder's cloud platform (formerly branded Luminate); long-standing WMS deployments also expose MOCA-based integration interfaces
- Authentication
- Token-based authentication; specifics vary by deployment and platform edition
- Change detection
- Polling and scheduled extracts; event-style feeds depend on the deployment
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits, which vary by contract and hosting model
How it works
How to connect BigQuery to Blue Yonder WMS — 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.
- 01
Connect your apps
Authenticate BigQuery and Blue Yonder WMS with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
BigQuery
connected
Blue Yonder WMS
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Blue Yonder WMS 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.
objects · BigQuery ⇄ Blue Yonder WMSCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
BigQuery Blue Yonder WMSCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Blue Yonder WMS integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Blue Yonder WMS: authenticate both systems, choose the objects to sync (such as BigQuery's Partitioned tables and Clustered tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Blue Yonder WMS. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on BigQuery: 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. On Blue Yonder WMS: Polling and scheduled extracts; event-style feeds depend on the deployment. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the BigQuery side: Partitioned tables, Clustered tables, Datasets, Projects, plus custom fields where BigQuery exposes them. On the Blue Yonder WMS side: Items / SKUs, Inventory balances, Inbound shipments (ASNs), Purchase orders. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for BigQuery and Blue Yonder WMS: Where Blue Yonder WMS runs operations: order and supply analysis; Group reporting across systems; Write-back where Blue Yonder WMS exposes writable fields. Operational records become queryable tables in BigQuery, joinable with sales and finance data.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for BigQuery and Blue Yonder WMS.
Popular · 8 of 386
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BigQuery ⇄ Sage Intacct - BigQuery ⇄ Sage X3
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BigQuery ⇄ SAP -
BigQuery ⇄ Snapfulfil -
Blue Yonder WMS ⇄ Exasol -
Blue Yonder WMS ⇄ Firebolt -
Blue Yonder WMS ⇄ Google Cloud Platform -
Blue Yonder WMS ⇄ Greenplum
No integrations match .
