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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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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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.

Syncing Acumatica into BigQuery makes ERP activity part of the company's analytics warehouse. Sales Orders, Invoices, and Stock Items flow into BigQuery Tables inside dedicated Datasets, where they join marketing, product, and finance data for reporting at warehouse scale.

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

  • 01 Blend Acumatica Invoices with other sources in BigQuery for company-wide revenue reporting
  • 02 Query historical Sales Orders across years using Partitioned tables
  • 03 Feed BI tools from BigQuery Datasets instead of hitting the Acumatica API
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Financial analytics pipeline

Acumatica Invoices and Sales Orders sync into Partitioned tables for date-ranged revenue analysis

Inventory warehouse feed

Acumatica Stock Items land in Clustered tables for fast SKU-level queries across Projects

Vendor spend analysis

Acumatica Purchase Orders and Vendors sync into a Dataset for procurement dashboards

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 How this pairing syncs
Projects Project cost and billing structures synced with delivery tools. Projects Connection scope: the service account grants access per project. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Payments Customer payment records reconciled against invoices from payment platforms. Tables The syncable unit: only tables can be synced per the Stacksync docs. Payments is specific to Acumatica and Tables to BigQuery — each maps to any object or custom field on the other side.
Journal Transactions GL entries replicated into reporting databases. Partitioned tables Synced like regular tables; partition columns map to target fields. Journal Transactions is specific to Acumatica and Partitioned tables to BigQuery — each maps to any object or custom field on the other side.
Opportunities and Cases Built-in CRM records synced with external sales and support tools. Clustered tables Supported; clustering is transparent to the sync. Opportunities and Cases is specific to Acumatica and Clustered tables to BigQuery — each maps to any object or custom field on the other side.
Customers AR master data synced with CRMs and billing tools. Datasets Organizational container — you pick which dataset’s tables to sync. Customers is specific to Acumatica and Datasets to BigQuery — each maps to any object or custom field on the other side.

How changes propagate between Acumatica and BigQuery

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Acumatica BigQuery Sub-second propagation

DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

BigQuery Acumatica Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Acumatica through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • BigQuery: 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.
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.

Real-time

Two-way sync

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

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
BigQuery setup guide
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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Acumatica connected
    BigQuery connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Acumatica ⇄ BigQuery
    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
    Acumatica BigQuery
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Acumatica and BigQuery integration FAQ

SECURITY

Security teams trust 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
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

Every pair below is a real-time, two-way sync. Search all 552 integrations available for Acumatica and BigQuery.

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