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Data warehouse ⇄ Accounting and finance

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

Keep BigQuery and Stripe 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 Stripe

Land the financial records from Stripe 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 Products, Prices, Refunds, Disputes from Stripe 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 Stripe 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

  • Reconcile invoices, payouts, and balance transactions into a warehouse or ERP for month-end close
  • Keep the product and price catalog aligned between Stripe and an internal database that other systems read
  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

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 Stripe arrive in BigQuery as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

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

What you can sync between BigQuery and Stripe

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 Stripe objects
Datasets Organizational container — you pick which dataset’s tables to sync. Balance Transactions The ledger entries behind every money movement, the basis for reconciliation.
Projects Connection scope: the service account grants access per project. Events The change log; each state change is an Event retrievable via the API.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Customers The billing identity most teams match against CRM accounts and contacts.
Partitioned tables Synced like regular tables; partition columns map to target fields. PaymentIntents The lifecycle record of a payment attempt, from creation to success or failure.
Clustered tables Supported; clustering is transparent to the sync. Charges Individual captured payments underlying intents, used in reconciliation.
What ships with BigQuery ⇄ Stripe

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Stripe 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 Stripe record.

Observability

Monitoring

Track your BigQuery ⇄ Stripe 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 Stripe.

How the BigQuery and Stripe 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

Stripe

Integration surface
REST API
Authentication
API keys (secret and restricted keys); OAuth 2.0 for Stripe Connect platforms
Change detection
Webhooks backed by the Events API; /v1/events supports replay and backfill
Capabilities
read · write · webhooks
Rate limits
Subject to documented per-mode request rate limits; idempotency keys make retries safe
How it works

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

    Choose tables

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

BigQuery and Stripe 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 Stripe.

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