Skip to content
Data warehouse ⇄ Accounting and finance

BigQuery to QuickBooks integration — real-time, two-way sync

Keep BigQuery and QuickBooks 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 QuickBooks

Land the financial records from QuickBooks in BigQuery continuously, and write results back, without building or maintaining a pipeline.

Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.

Stacksync syncs Accounts, Journal entries, Estimates, Purchase orders from QuickBooks into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery can be written back to fields in QuickBooks where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.

Common use cases

  • Create QuickBooks invoices automatically from closed-won deals or e-commerce orders.
  • Keep customer records consistent between QuickBooks and support or subscription-management tools.
  • 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

Revenue joined with everything else

Analysts combine QuickBooks's financial records with product, marketing, or operational data already in BigQuery for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in BigQuery, like payment-risk flags or customer tiers, sync back onto records in QuickBooks where the finance team can act on them.

Queryable history for audit and reconciliation

A continuously synced copy in BigQuery gives you a durable, queryable record of financial data for month-end and audit questions.

What you can sync between BigQuery and QuickBooks

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 QuickBooks objects
Clustered tables Supported; clustering is transparent to the sync. Payments Received funds applied to invoices, synced for revenue reconciliation
Datasets Organizational container — you pick which dataset’s tables to sync. Bills Payables written in from procurement systems for AP processing
Projects Connection scope: the service account grants access per project. Vendors Supplier records aligned with purchasing and spend tools
Tables The syncable unit: only tables can be synced per the Stacksync docs. Items Products and services referenced on invoice and bill lines
Partitioned tables Synced like regular tables; partition columns map to target fields. Accounts The chart of accounts, mirrored so external postings map to the right ledger lines
What ships with BigQuery ⇄ QuickBooks

Connect BigQuery and QuickBooks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–QuickBooks connection.

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or QuickBooks 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 QuickBooks record.

Observability

Monitoring

Track your BigQuery ⇄ QuickBooks 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 QuickBooks.

How the BigQuery and QuickBooks 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
BigQuery setup guide

QuickBooks

Integration surface
REST API (QuickBooks Online)
Authentication
OAuth 2.0
Change detection
webhooks for entity change events, plus a Change Data Capture query operation for pull-based deltas
Capabilities
read · write · CDC · webhooks
Rate limits
subject to per-realm API request limits
How it works

How to connect BigQuery to QuickBooks — 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 BigQuery and QuickBooks 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
    BigQuery connected
    QuickBooks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and QuickBooks 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 · BigQuery ⇄ QuickBooks
    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
    BigQuery QuickBooks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

BigQuery and QuickBooks integration FAQ

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.

Learn more about security
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:

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 386 integrations available for BigQuery and QuickBooks.

Popular · 8 of 386
All BigQuery integrations All QuickBooks integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own