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Database ⇄ CRM

Neo4j to ZoomInfo integration — real-time data sync

Keep Neo4j 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

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Why teams connect Neo4j and ZoomInfo

Treat ZoomInfo like part of your database: its records live in Neo4j as real tables, and writes in either place sync to the other in seconds.

ZoomInfo is a read-only source: Stacksync reads its data in real time and delivers it into Neo4j, so Neo4j always reflects the current state of ZoomInfo — without exports, scripts, or schedulers.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Neo4j, where it can be queried and joined like everything else.

Common use cases

  • Sync intent signals into the CRM or warehouse to trigger outbound plays on in-market accounts.
  • Fill gaps in new lead records (email, phone, company size) as they enter the CRM.
  • Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • Sync product catalog and order history into Neo4j to power recommendation queries.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the ZoomInfo API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in ZoomInfo arrive as row changes in Neo4j, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from ZoomInfo become tables in Neo4j you can join with application data directly.

What you can sync between Neo4j 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.

Neo4j objects ZoomInfo objects
Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Intent Signals Company-level topic scores indicating in-market buying behavior.
Users & Roles Security principals controlling what an integration credential can query or modify. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects.
Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Technographics Technology install data per company, used for segmentation and territory planning.
Relationships Typed, directed edges that carry the connections syncs exist to model. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies.
Properties Key-value attributes on both nodes and relationships, mapped from source fields. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts.
Labels Node type markers used to map source tables or objects onto the graph. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts.
What ships with Neo4j ⇄ ZoomInfo

Connect Neo4j and ZoomInfo for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–ZoomInfo connection.

Real-time

Real-time sync

Changes in Neo4j or ZoomInfo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Neo4j 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 Neo4j or ZoomInfo record.

Observability

Monitoring

Track your Neo4j ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Neo4j and ZoomInfo.

How the Neo4j and ZoomInfo connectors work

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC

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 Neo4j 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.

  1. 01

    Connect your apps

    Authenticate Neo4j 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Neo4j connected
    ZoomInfo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Neo4j ⇄ ZoomInfo
    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
    Neo4j ZoomInfo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Neo4j and ZoomInfo integration FAQ

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.

Learn more about security
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:

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 386 integrations available for Neo4j and ZoomInfo.

Popular · 8 of 386
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