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Data warehouse ⇄ Accounting and finance

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

Keep BigQuery and Recurly 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 Recurly

Land the financial records from Recurly 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 Coupons and Redemptions, Billing Info, Measured Units and Usage, Accounts from Recurly 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 Recurly 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

  • 01 Sync Accounts and Subscriptions bi-directionally with Postgres so product and provisioning systems read live entitlement state and write plan or seat changes back to Recurly.
  • 02 Trigger revenue-recognition or ERP entries when new_subscription and canceled_subscription webhooks fire.
  • 03 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Finance analytics without ETL

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

Revenue joined with everything else

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

Write-back of computed fields

Scores or segments computed in BigQuery, like payment-risk flags or customer tiers, sync back onto records in Recurly where the finance team can act on them.

What you can sync between BigQuery and Recurly

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 Recurly objects How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. Datasets is specific to BigQuery and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Billing Info Tokenized payment method (card/ACH) on an account; written when onboarding customers and read for payment-health signals (never stores raw card numbers). Projects is specific to BigQuery and Billing Info to Recurly — 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. Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. Tables is specific to BigQuery and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Accounts Customer/billing entity records keyed by account_code; the anchor most subscriptions and invoices hang off. Synced two-way with CRM accounts or a customer database. Partitioned tables is specific to BigQuery and Accounts to Recurly — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Subscriptions Recurring subscription records tied to an Account and a Plan, with state, term, and next-bill date. Core object, synced two-way to drive provisioning and reporting. Clustered tables is specific to BigQuery and Subscriptions to Recurly — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Recurly

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

Recurly BigQuery Sub-second propagation

DetectionRecurly notifies Stacksync of record changes through webhook events. Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints.

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.
  • Recurly: Production sites default to 1,000 requests/min with only GET requests counting toward the limit; sandbox sites 400/min with all requests counting; the limit is a sliding 5-minute window, X-RateLimit headers report the quota, and breaches return HTTP 429.
What ships with BigQuery ⇄ Recurly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Recurly 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 Recurly record.

Observability

Monitoring

Track your BigQuery ⇄ Recurly 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 Recurly.

How the BigQuery and Recurly 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

Recurly

Integration surface
REST API (V3, date-versioned; legacy V2 XML API also exists)
Authentication
API key via HTTP Basic auth (key as username, blank password); keys are per-site, with separate sandbox and production keys
Change detection
Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints sorted by updated_at with begin_time/end_time filters
Capabilities
read · write · webhooks
Rate limits
Production sites default to 1,000 requests/min with only GET requests counting toward the limit; sandbox sites 400/min with all requests counting; the limit is a sliding 5-minute window, X-RateLimit headers report the quota, and breaches return HTTP 429.
How it works

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

    Choose tables

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

BigQuery and Recurly 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.

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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 537 integrations available for BigQuery and Recurly.

Popular · 8 of 537
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