Real-time
Real-time sync
Changes in Snowflake or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Snowflake to ZoomInfo integration — real-time data sync
Keep Snowflake 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
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Migrated from Celigo
Why teams connect Snowflake and ZoomInfo
Flow ZoomInfo data into Snowflake 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 Snowflake, so Snowflake 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 Snowflake as live tables, updated within seconds, and columns computed in Snowflake 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
- Align CRM account hierarchies with ZoomInfo's corporate hierarchy data.
- Enrich CRM accounts and contacts on a schedule so firmographics, titles, and phone numbers stay current.
- Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
- Push product usage aggregates from Snowflake into sales and success tools for account prioritization
A single customer view
Join ZoomInfo's relationship data with billing, product, and support data in Snowflake to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Snowflake 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 Snowflake moments after they change, so dashboards stop lagging the reality they describe.
What you can sync between Snowflake 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.
| Snowflake objects | ZoomInfo objects | |
|---|---|---|
| Views Modeled projections used as the source side of outbound syncs. | Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. | |
| Materialized Views Precomputed results synced outward for low-latency reads. | Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. | |
| Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Intent Signals Company-level topic scores indicating in-market buying behavior. | |
| Stages File staging areas used for bulk loads into synced tables. | Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. | |
| Tasks Scheduled SQL used to transform synced data after it lands. | Technographics Technology install data per company, used for segmentation and territory planning. | |
| VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. |
What ships with Snowflake ⇄ ZoomInfo
Connect Snowflake and ZoomInfo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–ZoomInfo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Snowflake 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 Snowflake or ZoomInfo record.
Observability
Monitoring
Track your Snowflake ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Snowflake and ZoomInfo.
How the Snowflake and ZoomInfo connectors work
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
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 Snowflake 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 Snowflake 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.
Snowflake
connected
ZoomInfo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Snowflake 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 · Snowflake ⇄ 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.
Snowflake ZoomInfoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Snowflake and ZoomInfo integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Snowflake 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: The API is built around search and enrich operations: integrations submit known attributes such as domain, email, or name and receive matched, filled-out profiles. Snowflake: Compute runs on virtual warehouses that are billed and scaled separately from storage, so sync workloads can be isolated on their own warehouse. Stacksync's field mapping accounts for these differences between Snowflake 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 Snowflake and ZoomInfo 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 Snowflake and ZoomInfo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Snowflake–ZoomInfo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Snowflake and ZoomInfo. 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 Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. On ZoomInfo: Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream. 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 Snowflake and ZoomInfo.
Popular · 8 of 386
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Snowflake ⇄ Creatio CRM -
Snowflake ⇄ Drift -
Snowflake ⇄ Folk CRM -
Snowflake ⇄ Freshsales -
ZoomInfo ⇄ Yellowbrick -
ZoomInfo ⇄ BigQuery -
ZoomInfo ⇄ MotherDuck -
ZoomInfo ⇄ Databricks
No integrations match .
