Real-time
Two-way sync
Changes in BigQuery or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ E-commerce
BigQuery to Shipwire integration — real-time, two-way sync
Keep BigQuery and Shipwire 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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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect BigQuery and Shipwire
Make BigQuery the analytics and enrichment layer behind Shipwire: orders, products, and customers stay current in both directions.
BigQuery is the analytical store where the business joins, models, and reports on its data; Shipwire runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.
Stacksync syncs Tables, Partitioned tables, Clustered tables, Datasets in BigQuery with Orders, Products, Stock, Receivings in Shipwire field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.
Common use cases
- 01 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
- 02 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
- 03 Push Products, kits, and their dimensions and pricing from a PIM or ERP into the Shipwire catalog and keep SKUs aligned.
- 04 Read Stock levels per warehouse into an operational database or storefront so availability and backorder state reflect real inventory.
Common sync patterns
Live analytics on store activity
Orders, products, and customer records from Shipwire land in BigQuery as they change, so dashboards and models read current data instead of last night's export.
Where Shipwire accepts writes: push computed attributes back
Segments, lifetime value, and scores built in BigQuery write onto the matching records in Shipwire, so merchandising and messaging act on warehouse logic.
One product catalog
Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
What you can sync between BigQuery and Shipwire
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 | Shipwire objects | How this pairing syncs | |
|---|---|---|---|
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Trackings Shipment tracking numbers and carrier status returned as an Order subresource and surfaced through tracking.created, tracking.updated, and tracking.delivered webhook topics. | Tables is specific to BigQuery and Trackings to Shipwire — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Rates Shipping cost quotes for a cart or order; read-only, called at checkout time to estimate carrier costs rather than synced as stored records. | Partitioned tables is specific to BigQuery and Rates to Shipwire — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Orders B2C fulfillment orders (create, update, cancel, get) with item, hold, routing, and tracking subresources; typically written from a storefront or ERP and synced back with status and trackings. | Clustered tables is specific to BigQuery and Orders to Shipwire — each maps to any object or custom field on the other side. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Products Catalog SKUs including kits, virtual kits, and marketplace products; created and edited via API, commonly mastered in a PIM or ERP and pushed into Shipwire with dimensions and pricing. | Datasets is specific to BigQuery and Products to Shipwire — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. | Projects is specific to BigQuery and Stock to Shipwire — each maps to any object or custom field on the other side. |
How changes propagate between BigQuery and Shipwire
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 Shipwire 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 Shipwire through its API, with automatic retries and rate-limit backoff.
Shipwire BigQuery Sub-second propagation
DetectionShipwire notifies Stacksync of record changes through webhook events. Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics.
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.
- Shipwire: No published per-second request cap; list responses page at 20 items (recommended max ~200) and webhook payloads carry at most 20 items per resource, so large records must be paged via the response next links.
What ships with BigQuery ⇄ Shipwire
Connect BigQuery and Shipwire for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Shipwire connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Shipwire 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 Shipwire record.
Observability
Monitoring
Track your BigQuery ⇄ Shipwire 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 Shipwire.
How the BigQuery and Shipwire 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
Shipwire
- Integration surface
- REST API (v3)
- Authentication
- Bearer token sent as `Authorization: ShipwireKey <token>`; up to two keys are generated per account on the Users and Roles page, refreshable/expirable, over HTTPS only (separate sandbox at api.beta.shipwire.com)
- Change detection
- Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics; polling the list endpoints as a fallback (no CDC/log stream)
- Capabilities
- read · write · webhooks
- Rate limits
- No published per-second request cap; list responses page at 20 items (recommended max ~200) and webhook payloads carry at most 20 items per resource, so large records must be paged via the response next links.
How it works
How to connect BigQuery to Shipwire — 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 Shipwire 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
Shipwire
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Shipwire 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 ⇄ ShipwireCustomers 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 ShipwireCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Shipwire integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Shipwire: authenticate both systems, choose the objects to sync (such as BigQuery's Tables and Partitioned tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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BigQuery: The Storage Write API supports high-throughput streaming ingestion, which suits continuous sync loads better than legacy streaming inserts. Shipwire: Stock and Rates are effectively read-only (inventory levels and quote estimates); Orders, Products, Receivings, Returns, and Purchase Orders support create and update. Stacksync's field mapping accounts for these differences between BigQuery and Shipwire without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BigQuery and Shipwire records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and Shipwire connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Shipwire integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Shipwire. 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 Shipwire: Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics; polling the list endpoints as a fallback (no CDC/log stream). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 500 integrations available for BigQuery and Shipwire.
Popular · 8 of 500
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BigQuery ⇄ Nuorder -
BigQuery ⇄ Shopware -
BigQuery ⇄ Akeneo -
BigQuery ⇄ Bigcommerce -
Shipwire ⇄ Teradata Vantage -
Shipwire ⇄ Tinybird -
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Shipwire ⇄ Yellowbrick
No integrations match .
