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Data warehouse ⇄ ERP

BigQuery to SuiteAnalytics integration — real-time data sync

Keep BigQuery and SuiteAnalytics 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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Why teams connect BigQuery and SuiteAnalytics

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

SuiteAnalytics is a read-only source: Stacksync reads its data in real time and delivers it into BigQuery, so BigQuery always reflects the current state of SuiteAnalytics — without exports, scripts, or schedulers.

Connecting SuiteAnalytics to BigQuery moves ERP records — Accounts, Sales Tax Items, and all custom objects — into a warehouse built for large-scale analysis. Finance and data teams get ERP data in BigQuery Datasets for reporting, tax analysis, and modeling at warehouse scale.

Common use cases

  • 01 Build finance dashboards on BigQuery instead of exporting SuiteAnalytics data manually.
  • 02 Analyze tax exposure across jurisdictions using synced Nexus and Sales Tax Item data.
  • 03 Join Billing Schedule Customer Subsidiary Relationship records with other warehouse data for entity-level reporting.
  • 04 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs

Common sync patterns

ERP financial reporting

SuiteAnalytics Account records replicate into BigQuery Tables for consolidated financial dashboards.

Tax data warehouse

Nexus, Tax Type, and Sales Tax Item records sync into partitioned BigQuery Datasets for jurisdiction-level tax analysis.

Custom object analytics

all custom objects from SuiteAnalytics land in BigQuery so bespoke ERP data joins standard financial records.

What you can sync between BigQuery and SuiteAnalytics

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

How changes propagate between BigQuery and SuiteAnalytics

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 SuiteAnalytics 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").

DeliverySuiteAnalytics does not accept inbound record writes, so this direction carries requests rather than records: SuiteAnalytics's output flows back as field updates on the originating BigQuery records.

SuiteAnalytics BigQuery Interval-based propagation

DetectionStacksync polls SuiteAnalytics for changes on an incremental schedule, reading only records changed since the previous pass.

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.
  • SuiteAnalytics: Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits.
What ships with BigQuery ⇄ SuiteAnalytics

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or SuiteAnalytics 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 SuiteAnalytics record.

Observability

Monitoring

Track your BigQuery ⇄ SuiteAnalytics 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 SuiteAnalytics.

How the BigQuery and SuiteAnalytics 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

SuiteAnalytics

Integration surface
SQL over ODBC, JDBC, and ADO.NET (SuiteAnalytics Connect)
Authentication
NetSuite Token-Based Authentication: create an integration record (Consumer ID + Consumer Secret), an access token (Token ID + Token Secret), a role with SuiteAnalytics Connect and SuiteAnalytics Connect - Read All
Change detection
Not stated in the docs
Capabilities
read
Rate limits
Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits
SuiteAnalytics setup guide
How it works

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

    Choose tables

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

BigQuery and SuiteAnalytics integration FAQ

SECURITY

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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.

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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 424 integrations available for BigQuery and SuiteAnalytics.

Popular · 5 of 424
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