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CRM ⇄ Database

Apollo.io to Neo4j integration — real-time, two-way sync

Keep Apollo.io and Neo4j 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 Apollo.io and Neo4j

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

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.

Stacksync mirrors People (database records), Sequences, Deals (Opportunities), Tasks and calls from Apollo.io into Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Apollo.io with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
  • Push CRM opportunity stages back into Apollo so reps see pipeline context while sequencing.
  • Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • Write computed relationship scores (fraud, influence, similarity) back to operational systems.

Trigger workflows from CRM changes

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

Query the CRM like a database

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

Product events onto CRM records

Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Apollo.io, giving go-to-market teams live product context.

What you can sync between Apollo.io and Neo4j

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.

Apollo.io objects Neo4j objects
Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. Labels Node type markers used to map source tables or objects onto the graph.
Accounts Company records with firmographic attributes, matched to CRM accounts during sync. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. Users & Roles Security principals controlling what an integration credential can query or modify.
Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Relationships Typed, directed edges that carry the connections syncs exist to model.
What ships with Apollo.io ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apollo.io or Neo4j 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 Apollo.io or Neo4j record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apollo.io and Neo4j connectors work

Apollo.io

Integration surface
REST API
Authentication
API key (passed in request headers); master keys unlock account-wide endpoints
Change detection
Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream
Capabilities
read · write
Rate limits
Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls

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
How it works

How to connect Apollo.io to Neo4j — 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 Apollo.io and Neo4j 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
    Apollo.io connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apollo.io and Neo4j 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 · Apollo.io ⇄ Neo4j
    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
    Apollo.io Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apollo.io and Neo4j 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.

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 Apollo.io and Neo4j.

Popular · 8 of 386
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