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Data warehouse ⇄ ERP

BigQuery to Linnworks integration — real-time, two-way sync

Keep BigQuery and Linnworks 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 Linnworks

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

Stacksync syncs Open Orders, Processed Orders, Stock Items, Stock Levels from Linnworks 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 Linnworks where that is useful.

Common use cases

  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • Sync orders from Linnworks into an ERP or accounting system as they are processed, without CSV exports
  • Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock

Where Linnworks 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.

Where Linnworks is the HR system of record: workforce analytics

Worker and organization data syncs into BigQuery for headcount, cost, and planning analysis alongside other company data.

Where Linnworks runs operations: order and supply analysis

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

What you can sync between BigQuery and Linnworks

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 Linnworks objects
Tables The syncable unit: only tables can be synced per the Stacksync docs. Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems.
Partitioned tables Synced like regular tables; partition columns map to target fields. Processed Orders Completed orders feed accounting and warehouse-based margin reporting.
Clustered tables Supported; clustering is transparent to the sync. Stock Items SKU records keep product data aligned with ERPs and PIMs.
Datasets Organizational container — you pick which dataset’s tables to sync. Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability.
Projects Connection scope: the service account grants access per project. Locations Warehouse and fulfillment location records scope stock data during mapping.
What ships with BigQuery ⇄ Linnworks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Linnworks 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 Linnworks record.

Observability

Monitoring

Track your BigQuery ⇄ Linnworks 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 Linnworks.

How the BigQuery and Linnworks 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

Linnworks

Integration surface
REST API
Authentication
Application credentials and an install token exchanged for a session token
Change detection
Polling on order and stock endpoints
Capabilities
read · write
Rate limits
Per-endpoint rate limits apply on the Linnworks API
How it works

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

    Choose tables

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

BigQuery and Linnworks 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

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