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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.

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  • 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.

Revenue and data teams pair HubSpot with BigQuery to put CRM data under real analytics and to push warehouse-computed insight back into the CRM. HubSpot Contacts, Companies, and Deals sync into BigQuery Tables for pipeline reporting, while scores and segments computed in BigQuery flow back onto the records reps work in.

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

  • 01 Build board-level pipeline dashboards on BigQuery instead of HubSpot's native reports.
  • 02 Enrich HubSpot Contacts with attributes calculated from warehouse Tables, kept current by two-way sync.
  • 03 Analyze Ticket volume against Deal size in BigQuery to price support into renewals.
  • 04 Write warehouse-computed lead and account scores back to HubSpot properties on a schedule or in near real time.

Common sync patterns

Pipeline reporting

HubSpot Deals and Companies sync to partitioned BigQuery Tables for stage-conversion and forecast queries.

Warehouse-driven scoring

lead scores computed in a BigQuery Dataset write back to HubSpot Contact properties.

Product-revenue join

HubSpot Line Items and Products land in BigQuery to reconcile sold configurations against usage data.

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 How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Deal Synced with incremental and full sync per the Stacksync docs. Datasets is specific to BigQuery and Deal to HubSpot — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Line Item Synced with incremental and full sync per the Stacksync docs. Projects is specific to BigQuery and Line Item to HubSpot — 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. Product Synced with incremental and full sync per the Stacksync docs. Tables is specific to BigQuery and Product to HubSpot — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Ticket Synced with incremental and full sync per the Stacksync docs. Partitioned tables is specific to BigQuery and Ticket to HubSpot — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Quote Synced with incremental and full sync per the Stacksync docs. Clustered tables is specific to BigQuery and Quote to HubSpot — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and HubSpot

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

HubSpot BigQuery Sub-second propagation

DetectionHubSpot pushes changes as they happen — webhook events backed by change data capture. Records: incremental near-real-time change tracking.

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.
  • HubSpot: Request limits vary by subscription tier and API type.
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.

Real-time

Two-way sync

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

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
BigQuery setup guide

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.
HubSpot setup guide
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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    HubSpot connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ HubSpot
    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 HubSpot
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and HubSpot 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.

Learn more about security
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→ 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 572 integrations available for BigQuery and HubSpot.

Popular · 8 of 572
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