Real-time
Two-way sync
Changes in BigQuery or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
BigQuery to HubSpot integration — real-time, two-way sync
Keep BigQuery and HubSpot 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 HubSpot
Sync HubSpot into BigQuery continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Line Item, Product, Ticket, Quote from HubSpot land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in HubSpot. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Write warehouse-computed lead and account scores back to HubSpot properties on a schedule or in near real time.
- Sync HubSpot Tickets with an internal support database to unify service reporting across channels.
- 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
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in BigQuery appear as fields in HubSpot, where the people working accounts actually see them.
A single customer view
Join HubSpot's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in BigQuery can be written back, so warehouse-side cleanup actually fixes the CRM.
What you can sync between BigQuery and HubSpot
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 | HubSpot objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Deal Synced with incremental and full sync per the Stacksync docs. | |
| Projects Connection scope: the service account grants access per project. | Line Item Synced with incremental and full sync per the Stacksync docs. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Product Synced with incremental and full sync per the Stacksync docs. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Ticket Synced with incremental and full sync per the Stacksync docs. | |
| Clustered tables Supported; clustering is transparent to the sync. | Quote Synced with incremental and full sync per the Stacksync docs. |
What ships with BigQuery ⇄ HubSpot
Connect BigQuery and HubSpot for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–HubSpot connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or HubSpot 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 HubSpot record.
Observability
Monitoring
Track your BigQuery ⇄ HubSpot 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 HubSpot.
How the BigQuery and HubSpot 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
HubSpot
- Integration surface
- REST API (CRM v3)
- Authentication
- OAuth (choose HubSpot account and authorize Stacksync); requires a HubSpot 'Super Admin' to grant access; optional "Grant access to sensitive fields" checkbox for sensitive/highly sensitive fields
- Change detection
- Records: incremental near-real-time change tracking. Associations: HubSpot has no native association CDC
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- Request limits vary by subscription tier and API type.
How it works
How to connect BigQuery to HubSpot — 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 HubSpot 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
HubSpot
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and HubSpot 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 ⇄ HubSpotCustomers 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 HubSpotCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and HubSpot integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and HubSpot: 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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Yes — Stacksync ships production-grade connectors for both BigQuery and HubSpot. 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 HubSpot: Records: incremental near-real-time change tracking. Associations: HubSpot has no native association CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the HubSpot side: Line Item, Product, Ticket, Quote, plus custom fields where HubSpot exposes them. On the BigQuery side: Tables, Partitioned tables, Clustered tables, Datasets. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for BigQuery and HubSpot: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in BigQuery appear as fields in HubSpot, where the people working accounts actually see them.
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 HubSpot.
Popular · 8 of 386
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BigQuery ⇄ Pipedrive -
BigQuery ⇄ Zoho CRM -
BigQuery ⇄ Shopify -
BigQuery ⇄ Affinity -
HubSpot ⇄ Starburst Enterprise -
HubSpot ⇄ StarRocks -
HubSpot ⇄ Teradata Vantage -
HubSpot ⇄ Tinybird
No integrations match .
