Real-time
Two-way sync
Changes in BigQuery or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
BigQuery to Google Sheets integration — real-time, two-way sync
Keep BigQuery and Google Sheets 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 Google Sheets
Get the data locked inside Google Sheets into BigQuery as live tables, and send results back where Google Sheets can use them, without writing a pipeline.
Whatever Google Sheets is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Spreadsheets, Sheets (tabs), Rows, Ranges from Google Sheets into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Google Sheets where the tool can use them.
Common use cases
- Publish pipeline, revenue, or inventory snapshots from a warehouse into a shared sheet for reporting.
- Use a sheet as a lightweight intake form whose rows become records in a production database.
- 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
Cross-tool reporting
Combine Google Sheets's data with data from every other synced system to answer questions no single tool can.
Where Google Sheets accepts updates: operational write-back
Segments, scores, or reference values computed in BigQuery sync back onto records in Google Sheets, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Google Sheets or gets changed inside it.
What you can sync between BigQuery and Google Sheets
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 | Google Sheets objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Rows Treated as records; a header row usually defines field names. | |
| Projects Connection scope: the service account grants access per project. | Ranges Addressed in A1 notation for batched reads and writes. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Named ranges Stable references that keep sync mappings valid when the grid moves. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | |
| Clustered tables Supported; clustering is transparent to the sync. | Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. |
What ships with BigQuery ⇄ Google Sheets
Connect BigQuery and Google Sheets for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Google Sheets connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or Google Sheets 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 Google Sheets record.
Observability
Monitoring
Track your BigQuery ⇄ Google Sheets 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 Google Sheets.
How the BigQuery and Google Sheets 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
Google Sheets
- Integration surface
- REST API (Google Sheets API), with file-level change signals available through the Drive API
- Authentication
- OAuth 2.0 (user consent) or Google service accounts
- Change detection
- Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes
- Capabilities
- read · write
- Rate limits
- Subject to per-minute read and write quotas per project and per user, so large syncs are batched.
How it works
How to connect BigQuery to Google Sheets — 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.
- 01
Connect your apps
Authenticate BigQuery and Google Sheets with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
BigQuery
connected
Google Sheets
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and Google Sheets 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.
objects · BigQuery ⇄ Google SheetsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
BigQuery Google SheetsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Google Sheets integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Google Sheets: 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.
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Google Sheets: There is no cell-level webhook: change detection is polling, with Drive API notifications limited to file-level modification signals. BigQuery: The Storage Write API supports high-throughput streaming ingestion, which suits continuous sync loads better than legacy streaming inserts. Stacksync's field mapping accounts for these differences between BigQuery and Google Sheets without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BigQuery and Google Sheets records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and Google Sheets connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Google Sheets integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Google Sheets. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for BigQuery and Google Sheets.
Popular · 8 of 386
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BigQuery ⇄ Atlassian -
BigQuery ⇄ Braze -
BigQuery ⇄ ConnectWise -
BigQuery ⇄ Aviato -
Google Sheets ⇄ Exasol -
Google Sheets ⇄ Firebolt -
Google Sheets ⇄ Google Cloud Platform -
Google Sheets ⇄ Greenplum
No integrations match .
