Real-time
Two-way sync
Changes in BigQuery or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to Cin7 integration — real-time, two-way sync
Keep BigQuery and Cin7 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect BigQuery and Cin7
Put Cin7's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Cin7 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 Cin7 carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Inventory levels, Sales orders, Purchase orders, Contacts from Cin7 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 Cin7 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
- Write purchase orders created in a planning tool back into Cin7 for receiving.
- Consolidate stock movements from multiple branches into one reporting database.
Write-back where Cin7 exposes writable fields
Classifications or reference values computed in BigQuery sync back onto the corresponding records in Cin7.
Where Cin7 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 Cin7 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.
What you can sync between BigQuery and Cin7
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 | Cin7 objects | |
|---|---|---|
| Clustered tables Supported; clustering is transparent to the sync. | Inventory levels Stock on hand by branch or location, published outward for availability. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs. | |
| Projects Connection scope: the service account grants access per project. | Purchase orders Supplier orders synced with procurement and accounting workflows. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Branches / locations Warehouse entities that scope every stock movement and order allocation. |
What ships with BigQuery ⇄ Cin7
Connect BigQuery and Cin7 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Cin7 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Cin7 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 Cin7 record.
Observability
Monitoring
Track your BigQuery ⇄ Cin7 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 Cin7.
How the BigQuery and Cin7 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
Cin7
- Integration surface
- REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs
- Authentication
- API key credentials (paired with a username or account ID, depending on the product)
- Change detection
- Polling on modified-date filters; webhook support exists on some editions for order and stock events
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core
How it works
How to connect BigQuery to Cin7 — 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 Cin7 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
Cin7
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Cin7 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 ⇄ Cin7Customers 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 Cin7Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Cin7 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Cin7: authenticate both systems, choose the objects to sync (such as BigQuery's Clustered tables and Datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Cin7 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 Cin7 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Cin7 integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Cin7. 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 Cin7: Polling on modified-date filters; webhook support exists on some editions for order and stock events. 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: Tables, Partitioned tables, Clustered tables, Datasets, plus custom fields where BigQuery exposes them. On the Cin7 side: Inventory levels, Sales orders, Purchase orders, Contacts. Stacksync auto-detects both schemas and converts types between the two systems.
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 Cin7.
Popular · 8 of 386
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BigQuery ⇄ Infor LN - BigQuery ⇄ Infor M3
- BigQuery ⇄ Infor WMS
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BigQuery ⇄ IQMS (DELMIAworks) -
Cin7 ⇄ IBM Netezza -
Cin7 ⇄ Materialize -
Cin7 ⇄ Rockset -
Cin7 ⇄ Starburst Enterprise
No integrations match .
