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Data warehouse ⇄ Accounting and finance

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

Keep BigQuery and Pigment 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 Pigment

Land the financial records from Pigment 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 Applications, Metrics, Dimension lists, Tables from Pigment 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 Pigment 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

  • Keep dimension lists such as departments and cost centers consistent with master data in the ERP.
  • Sync headcount and compensation data from an HRIS into workforce planning models.
  • Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs

Write-back of computed fields

Scores or segments computed in BigQuery, like payment-risk flags or customer tiers, sync back onto records in Pigment 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.

Finance analytics without ETL

Invoices, payments, and customer records from Pigment arrive in BigQuery as queryable tables, current within seconds instead of a day behind.

What you can sync between BigQuery and Pigment

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 Pigment objects
Projects Connection scope: the service account grants access per project. Tables Row-based transactional data loaded into models from source systems
Tables The syncable unit: only tables can be synced per the Stacksync docs. Scenarios Versions such as budget, forecast, and actuals that give exported figures their context
Partitioned tables Synced like regular tables; partition columns map to target fields. Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model
Clustered tables Supported; clustering is transparent to the sync. Users and permissions Access controls governing which model areas a sync can touch
Datasets Organizational container — you pick which dataset’s tables to sync. Applications Planning models organized by domain such as finance, sales, or workforce
What ships with BigQuery ⇄ Pigment

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Pigment 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 Pigment record.

Observability

Monitoring

Track your BigQuery ⇄ Pigment 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 Pigment.

How the BigQuery and Pigment 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

Pigment

Integration surface
REST-based import and export API
Authentication
API keys, issued separately for import and export
Change detection
no change feed; syncs run scheduled imports and exports
Capabilities
read · write
Rate limits
subject to the platform's API rate limits
How it works

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

    Choose tables

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

BigQuery and Pigment 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 Pigment.

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