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Data warehouse ⇄ ERP

BigQuery to Sage Intacct integration — real-time, two-way sync

Keep BigQuery and Sage Intacct 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

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Why teams connect BigQuery and Sage Intacct

Put Sage Intacct's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Sage Intacct 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 Sage Intacct carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs Dimensions, Employees, GL Accounts, Journal Entries from Sage Intacct 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 Sage Intacct where that is useful.

Common use cases

  • Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • Keep project and department dimensions aligned with a PSA or HRIS so coding stays consistent across systems.
  • Create AR invoices or Order Entry transactions from subscription and order data held in a Postgres application database.

Group reporting across systems

Combine Sage Intacct's records with data synced from other systems in BigQuery for consolidated views no single system can produce.

Write-back where Sage Intacct exposes writable fields

Classifications or reference values computed in BigQuery sync back onto the corresponding records in Sage Intacct.

Where Sage Intacct 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.

What you can sync between BigQuery and Sage Intacct

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 Sage Intacct objects
Projects Connection scope: the service account grants access per project. Journal Entries GL activity written from external systems and replicated to warehouses.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Customers AR masters synced bi-directionally with CRMs like Salesforce and HubSpot.
Partitioned tables Synced like regular tables; partition columns map to target fields. Vendors AP masters kept aligned with procurement and payment platforms.
Clustered tables Supported; clustering is transparent to the sync. AR Invoices Billing documents created from upstream order or subscription data.
Datasets Organizational container — you pick which dataset’s tables to sync. AP Bills Payables documents written from procurement tools and OCR pipelines.
What ships with BigQuery ⇄ Sage Intacct

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Sage Intacct 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 Sage Intacct record.

Observability

Monitoring

Track your BigQuery ⇄ Sage Intacct 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 Sage Intacct.

How the BigQuery and Sage Intacct 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

Sage Intacct

Integration surface
XML web services gateway; REST API on newer releases
Authentication
Web Services sender ID plus company login (session-based) on the XML gateway; OAuth 2.0 on the REST API
Change detection
Polling on WHENMODIFIED audit fields; no log-based CDC or general webhook surface
Capabilities
read · write
How it works

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

    Choose tables

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

BigQuery and Sage Intacct 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 Sage Intacct.

Popular · 8 of 386
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