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Data warehouse ⇄ ERP

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

Keep BigQuery and NetSuite 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 BigQuery and NetSuite

Put NetSuite's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where NetSuite can use them.

Finance and data teams sync NetSuite with BigQuery to report on ERP financials at warehouse scale. NetSuite Accounts, Billing Schedules, and all custom objects replicate into BigQuery Tables, so month-end analysis and tax reporting run in SQL rather than saved searches.

Stacksync syncs Account, Accounting Period, Bin Transfer, Currency Rate from NetSuite 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 NetSuite where that is useful.

Common use cases

  • 01 Analyze billing schedules and revenue timing across subsidiaries using Customer Subsidiary Relationship records in BigQuery.
  • 02 Build tax exposure reports by querying Nexus and Sales Tax Item data in clustered BigQuery Tables.
  • 03 Replace slow NetSuite saved searches with SQL over replicated Tables in a dedicated BigQuery Project.
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Financial reporting base

NetSuite Account and Billing Schedule records sync to partitioned BigQuery Tables for revenue and close analysis.

Tax data consolidation

Nexus, Tax Type, and Sales Tax Item records land in a BigQuery Dataset for multi-jurisdiction tax reporting.

Custom object replication

all NetSuite custom objects sync to BigQuery so bespoke ERP data joins the rest of the warehouse.

What you can sync between BigQuery and NetSuite

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 NetSuite objects How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Subsidiary Synced with incremental and full sync per the Stacksync docs. Datasets is specific to BigQuery and Subsidiary to NetSuite — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. All custom objects Synced with incremental and full sync per the Stacksync docs. Projects is specific to BigQuery and All custom objects to NetSuite — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Nexus Synced with incremental and full sync per the Stacksync docs. Tables is specific to BigQuery and Nexus to NetSuite — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Tax Type Synced with incremental and full sync per the Stacksync docs. Partitioned tables is specific to BigQuery and Tax Type to NetSuite — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Sales Tax Item Synced with incremental and full sync per the Stacksync docs. Clustered tables is specific to BigQuery and Sales Tax Item to NetSuite — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and NetSuite

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.

BigQuery NetSuite 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 NetSuite through its API, with automatic retries and rate-limit backoff.

NetSuite BigQuery Interval-based propagation

DetectionStacksync polls NetSuite for changes on an incremental schedule, reading only records changed since the previous pass. Polling on lastModifiedDate via SuiteQL or saved searches.

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

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.
  • NetSuite: API concurrency is governed per account; sync tools queue and throttle requests.
What ships with BigQuery ⇄ NetSuite

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or NetSuite 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 NetSuite record.

Observability

Monitoring

Track your BigQuery ⇄ NetSuite 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 NetSuite.

How the BigQuery and NetSuite 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

NetSuite

Integration surface
SuiteTalk REST and SOAP web services, plus SuiteQL queries
Authentication
Token-Based Authentication (TBA): enable REST Web Services (and SOAP Web Services) + Token-Based Authentication in NetSuite, create an integration record to get Consumer ID/Secret
Change detection
Polling on lastModifiedDate via SuiteQL or saved searches; no native webhooks without custom SuiteScript
Capabilities
read · write
Rate limits
API concurrency is governed per account; sync tools queue and throttle requests.
NetSuite setup guide
How it works

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

    Choose tables

    Pick the BigQuery and NetSuite 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 ⇄ NetSuite
    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 NetSuite
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and NetSuite 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 565 integrations available for BigQuery and NetSuite.

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