Two-way sync
Changes in BigQuery or Bill instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and Bill in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Chart of Accounts, Bank Accounts, Vendor Credits and Credit Memos, Bills from Bill 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 Bill 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.
Analysts combine Bill's financial records with product, marketing, or operational data already in BigQuery for reporting the finance system cannot do alone.
Scores or segments computed in BigQuery, like payment-risk flags or customer tiers, sync back onto records in Bill where the finance team can act on them.
A continuously synced copy in BigQuery gives you a durable, queryable record of financial data for month-end and audit questions.
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 | Bill objects | How this pairing syncs | |
|---|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Vendor Credits and Credit Memos AP and AR adjustments applied against bills and invoices; synced so balances stay accurate on both sides. | Datasets is specific to BigQuery and Vendor Credits and Credit Memos to Bill — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Bills Accounts-payable amounts owed to vendors, with bill line items; read and created via /v3/bills and pulled incrementally by filtering on createdTime/updatedTime. | Projects is specific to BigQuery and Bills to Bill — 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. | Vendors Payee master records; synced two-way with vendor/supplier tables in an ERP or accounting system so new payees don't have to be re-keyed. | Tables is specific to BigQuery and Vendors to Bill — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Invoices Accounts-receivable invoices sent to customers; created and read via /v3/invoices to keep billing status aligned with the ERP or CRM. | Partitioned tables is specific to BigQuery and Invoices to Bill — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Customers AR customer master records; mapped to customer/account records in a CRM or ERP so finance and sales share one view. | Clustered tables is specific to BigQuery and Customers to Bill — each maps to any object or custom field on the other side. |
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.
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 Bill through its API, with automatic retries and rate-limit backoff.
DetectionBill notifies Stacksync of record changes through webhook events. Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on.
DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Bill connection.
Changes in BigQuery or Bill instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Bill data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Bill record.
Track your BigQuery ⇄ Bill sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Bill.
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.
Authenticate BigQuery and Bill with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the BigQuery and Bill 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Bill: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and Bill connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Bill integration in-house.
Yes — Stacksync ships production-grade connectors for both BigQuery and Bill. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on BigQuery: 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. On Bill: Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on createdTime/updatedTime list filters as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Bill side: Chart of Accounts, Bank Accounts, Vendor Credits and Credit Memos, Bills, plus custom fields where Bill exposes them. On the BigQuery side: Tables, Partitioned tables, Clustered tables, Datasets. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 536 integrations available for BigQuery and Bill.