Real-time
Two-way sync
Changes in BigQuery or Snapfulfil instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to Snapfulfil integration — real-time, two-way sync
Keep BigQuery and Snapfulfil 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 Snapfulfil
Put Snapfulfil's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Snapfulfil 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 Snapfulfil carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Warehouse locations, Returns, Sales orders, Purchase orders / ASNs from Snapfulfil 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 Snapfulfil where that is useful.
Common use cases
- Feed ML feature tables in BigQuery from operational systems on a continuous schedule
- Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
- Keep inventory balances aligned between the WMS, the ERP, and selling channels to prevent oversells
- Sync the item master from the ERP so new SKUs are receivable in the warehouse immediately
Where Snapfulfil 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 Snapfulfil runs operations: order and supply analysis
Operational records become queryable tables in BigQuery, joinable with sales and finance data.
Group reporting across systems
Combine Snapfulfil's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
What you can sync between BigQuery and Snapfulfil
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 | Snapfulfil objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Shipments Dispatch confirmations with carrier and tracking details returned to the order source. | |
| Projects Connection scope: the service account grants access per project. | Warehouse locations Bin and zone structure referenced by stock and movement records. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Returns Inbound customer returns processed back into stock or quarantine. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Sales orders Orders pushed into the WMS for picking, packing, and dispatch. | |
| Clustered tables Supported; clustering is transparent to the sync. | Purchase orders / ASNs Inbound expectations that drive receiving and putaway. |
What ships with BigQuery ⇄ Snapfulfil
Connect BigQuery and Snapfulfil for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Snapfulfil connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Snapfulfil 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 Snapfulfil record.
Observability
Monitoring
Track your BigQuery ⇄ Snapfulfil 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 Snapfulfil.
How the BigQuery and Snapfulfil 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
Snapfulfil
- Integration surface
- REST-style web service API
- Authentication
- API credentials issued for the warehouse instance
- Change detection
- Polling, subject to the platform's API rate limits
- Capabilities
- read · write
- Rate limits
- Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works
How to connect BigQuery to Snapfulfil — 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 Snapfulfil 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
Snapfulfil
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Snapfulfil 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 ⇄ SnapfulfilCustomers 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 SnapfulfilCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Snapfulfil integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Snapfulfil: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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BigQuery: BigQuery is serverless: there are no clusters or warehouses to size, and storage and compute are billed separately. Snapfulfil: Its data model follows the warehouse order lifecycle (receive, putaway, pick, pack, ship), so integrations center on orders, stock, and shipments. Stacksync's field mapping accounts for these differences between BigQuery and Snapfulfil 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 Snapfulfil 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 Snapfulfil connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Snapfulfil integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Snapfulfil. 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 Snapfulfil: Polling, subject to the platform's API rate limits. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Snapfulfil.
Popular · 8 of 386
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BigQuery ⇄ Blue Yonder WMS -
BigQuery ⇄ Brightpearl -
BigQuery ⇄ Cetec ERP -
BigQuery ⇄ Cin7 -
Snapfulfil ⇄ Teradata Vantage -
Snapfulfil ⇄ Tinybird -
Snapfulfil ⇄ Vertica -
Snapfulfil ⇄ Yellowbrick
No integrations match .
