Real-time
Two-way sync
Changes in Acumatica or BigQuery instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Data warehouse
Acumatica to BigQuery integration — real-time, two-way sync
Keep Acumatica and BigQuery 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 Acumatica and BigQuery
Put Acumatica's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Acumatica 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 Acumatica carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.
Stacksync syncs Sales Orders, Invoices, Purchase Orders, Stock Items from Acumatica 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 Acumatica 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
- Two-way sync of customers, orders, and invoices between Acumatica and a CRM so sales sees ERP truth without ERP logins.
- Create sales orders in Acumatica from e-commerce platforms and sync shipment and tracking status back to the storefront.
Write-back where Acumatica exposes writable fields
Classifications or reference values computed in BigQuery sync back onto the corresponding records in Acumatica.
Where Acumatica 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 Acumatica 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 Acumatica and BigQuery
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.
| Acumatica objects | BigQuery objects | |
|---|---|---|
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Datasets Organizational container — you pick which dataset’s tables to sync. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | Projects Connection scope: the service account grants access per project. | |
| Journal Transactions GL entries replicated into reporting databases. | Tables The syncable unit: only tables can be synced per the Stacksync docs. | |
| Projects Project cost and billing structures synced with delivery tools. | Partitioned tables Synced like regular tables; partition columns map to target fields. | |
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | Clustered tables Supported; clustering is transparent to the sync. |
What ships with Acumatica ⇄ BigQuery
Connect Acumatica and BigQuery for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–BigQuery connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Acumatica or BigQuery 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 Acumatica or BigQuery record.
Observability
Monitoring
Track your Acumatica ⇄ BigQuery sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Acumatica and BigQuery.
How the Acumatica and BigQuery connectors work
Acumatica
- Integration surface
- Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
- Authentication
- OAuth 2.0 or cookie-based session login with Acumatica credentials
- Change detection
- Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
- Capabilities
- read · write · webhooks
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
How it works
How to connect Acumatica to BigQuery — 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 Acumatica and BigQuery with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Acumatica
connected
BigQuery
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Acumatica and BigQuery 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 · Acumatica ⇄ BigQueryCustomers 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.
Acumatica BigQueryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Acumatica and BigQuery integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and BigQuery: authenticate both systems, choose the objects to sync (such as Acumatica's Shipments and Payments), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Acumatica and BigQuery connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Acumatica–BigQuery integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Acumatica and BigQuery. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the BigQuery side: Partitioned tables, Clustered tables, Datasets, Projects, plus custom fields where BigQuery exposes them. On the Acumatica side: Sales Orders, Invoices, Purchase Orders, Stock Items. Stacksync auto-detects both schemas and converts types between the two systems.
-
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 Acumatica and BigQuery.
Popular · 8 of 386
-
Acumatica ⇄ Exasol -
Acumatica ⇄ Firebolt -
Acumatica ⇄ Google Cloud Platform -
Acumatica ⇄ Greenplum -
BigQuery ⇄ Epicor ERP -
BigQuery ⇄ Extensiv (3PL Central) -
BigQuery ⇄ Fishbowl Manufacturing -
BigQuery ⇄ Global Shop Solutions
No integrations match .
