Real-time
Two-way sync
Changes in BigQuery or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
BigQuery to DEAR Inventory integration — real-time, two-way sync
Keep BigQuery and DEAR Inventory 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 DEAR Inventory
Put DEAR Inventory's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where DEAR Inventory 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 DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production from DEAR Inventory 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 DEAR Inventory 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 stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.
- Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.
Where DEAR Inventory runs operations: order and supply analysis
Operational records become queryable tables in BigQuery, joinable with sales and finance data.
Group reporting across systems
Combine DEAR Inventory's records with data synced from other systems in BigQuery for consolidated views no single system can produce.
Write-back where DEAR Inventory exposes writable fields
Classifications or reference values computed in BigQuery sync back onto the corresponding records in DEAR Inventory.
What you can sync between BigQuery and DEAR Inventory
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 | DEAR Inventory objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | |
| Projects Connection scope: the service account grants access per project. | Locations Warehouses and bins that scope stock levels and fulfillment. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | |
| Clustered tables Supported; clustering is transparent to the sync. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. |
What ships with BigQuery ⇄ DEAR Inventory
Connect BigQuery and DEAR Inventory for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–DEAR Inventory connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or DEAR Inventory 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 DEAR Inventory record.
Observability
Monitoring
Track your BigQuery ⇄ DEAR Inventory 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 DEAR Inventory.
How the BigQuery and DEAR Inventory 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
DEAR Inventory
- Integration surface
- REST API
- Authentication
- Account ID plus application key sent as request headers
- Change detection
- Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's per-account API rate limits
How it works
How to connect BigQuery to DEAR Inventory — 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 DEAR Inventory 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
DEAR Inventory
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and DEAR Inventory 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 ⇄ DEAR InventoryCustomers 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 DEAR InventoryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and DEAR Inventory integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and DEAR Inventory: 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–DEAR Inventory integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and DEAR Inventory. 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 DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. 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: Datasets, Projects, Tables, Partitioned tables, plus custom fields where BigQuery exposes them. On the DEAR Inventory side: Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production. 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.
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 DEAR Inventory.
Popular · 8 of 386
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BigQuery ⇄ Infor WMS -
BigQuery ⇄ IQMS (DELMIAworks) -
BigQuery ⇄ JobBOSS² -
BigQuery ⇄ Körber WMS -
DEAR Inventory ⇄ Actian Vector -
DEAR Inventory ⇄ Amazon Redshift -
DEAR Inventory ⇄ Apache Doris -
DEAR Inventory ⇄ Apache Druid
No integrations match .
