Real-time
Real-time sync
Changes in BigQuery or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
BigQuery to ZoomInfo integration — real-time data sync
Keep BigQuery and ZoomInfo 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
Case study
Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect BigQuery and ZoomInfo
Flow ZoomInfo data into BigQuery in real time — no exports, no schedulers, no custom scripts.
ZoomInfo is a read-only source: Stacksync reads its data in real time and delivers it into BigQuery, so BigQuery always reflects the current state of ZoomInfo — without exports, scripts, or schedulers.
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. Scoops, Technographics, Company Hierarchies, Company Profiles from ZoomInfo land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in ZoomInfo. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Feed technographic data into territory plans or scoring models in a warehouse.
- Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
- Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
- Feed ML feature tables in BigQuery from operational systems on a continuous schedule
A single customer view
Join ZoomInfo'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.
CRM analytics on live data
Accounts, contacts, and activity from ZoomInfo are queryable in BigQuery moments after they change, so dashboards stop lagging the reality they describe.
What you can sync between BigQuery and ZoomInfo
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 | ZoomInfo objects | |
|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Intent Signals Company-level topic scores indicating in-market buying behavior. | |
| Projects Connection scope: the service account grants access per project. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Technographics Technology install data per company, used for segmentation and territory planning. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. | |
| Clustered tables Supported; clustering is transparent to the sync. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. |
What ships with BigQuery ⇄ ZoomInfo
Connect BigQuery and ZoomInfo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–ZoomInfo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery or ZoomInfo 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 ZoomInfo record.
Observability
Monitoring
Track your BigQuery ⇄ ZoomInfo 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 ZoomInfo.
How the BigQuery and ZoomInfo 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
ZoomInfo
- Integration surface
- REST API organized around search and enrich endpoints
- Authentication
- API credentials exchanged for a short-lived JWT
- Change detection
- Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream
- Capabilities
- read
- Rate limits
- Usage is metered by credits and contract-based limits rather than a single public rate limit.
How it works
How to connect BigQuery to ZoomInfo — 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 ZoomInfo 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
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery and ZoomInfo 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 ⇄ ZoomInfoCustomers 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 ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between BigQuery and ZoomInfo — ZoomInfo is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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ZoomInfo is a read-only source, so this integration runs one-way: Stacksync reads from ZoomInfo in real time and delivers into BigQuery. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for BigQuery and ZoomInfo: A single customer view; Cleanup that sticks; CRM analytics on live data. Join ZoomInfo's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.
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BigQuery: 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. ZoomInfo: REST API organized around search and enrich endpoints. Authentication: API credentials exchanged for a short-lived JWT. Stacksync manages authentication, retries, and rate limits on both sides.
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ZoomInfo: Intent data is delivered as company-level topic scores rather than person-level events, which shapes how it maps onto CRM records. BigQuery: Views and materialized views are not supported — only tables. Stacksync's field mapping accounts for these differences between BigQuery and ZoomInfo 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 ZoomInfo records are not retained after a sync operation.
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 ZoomInfo.
Popular · 8 of 386
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BigQuery ⇄ SugarCRM -
BigQuery ⇄ Twenty CRM -
BigQuery ⇄ Veeva CRM -
BigQuery ⇄ Vtiger CRM -
ZoomInfo ⇄ Tinybird -
ZoomInfo ⇄ Vertica -
ZoomInfo ⇄ Yellowbrick -
ZoomInfo ⇄ Snowflake
No integrations match .
