Real-time
Two-way sync
Changes in Customer.io or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Customer.io to Neo4j integration — real-time, two-way sync
Keep Customer.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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Customer.io and Neo4j
Mirror Customer.io's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Customer.io through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.
Stacksync mirrors Objects, Events, Segments, Campaigns from Customer.io into Properties, Labels, Indexes & Constraints, Databases in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Customer.io, so the tool and the database never disagree.
Common use cases
- Push CRM segments and lead status into Customer.io so messaging respects sales stage.
- Land delivery and engagement events (sent, opened, clicked, bounced) from reporting webhooks into a warehouse for attribution analysis.
- Write computed relationship scores (fraud, influence, similarity) back to operational systems.
- Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
Read Customer.io with a query
Records from Customer.io are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
Automate Customer.io from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Customer.io, replacing custom integration code.
React to changes as they happen
Updates in Customer.io arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
What you can sync between Customer.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.
| Customer.io objects | Neo4j objects | |
|---|---|---|
| Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | Relationships Typed, directed edges that carry the connections syncs exist to model. | |
| Newsletters Recurring email sends with performance metrics available for reporting syncs. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | |
| People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Events Behavioral events sent via the Track API that trigger campaigns. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. | Users & Roles Security principals controlling what an integration credential can query or modify. |
What ships with Customer.io ⇄ Neo4j
Connect Customer.io and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Customer.io–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Customer.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 Customer.io or Neo4j record.
Observability
Monitoring
Track your Customer.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 Customer.io and Neo4j.
How the Customer.io and Neo4j connectors work
Customer.io
- Integration surface
- REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages
- Authentication
- Basic auth with site ID and API key for the Track API; bearer token for the App API
- Change detection
- Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-API rate limits documented by Customer.io
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 Customer.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.
- 01
Connect your apps
Authenticate Customer.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.
Customer.io
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Customer.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.
objects · Customer.io ⇄ Neo4jCustomers 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.
Customer.io Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Customer.io and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Customer.io and Neo4j: authenticate both systems, choose the objects to sync (such as Customer.io's Deliveries / Messages and Newsletters), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Customer.io and Neo4j: Read Customer.io with a query; Automate Customer.io from your codebase; React to changes as they happen. Records from Customer.io are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
-
Customer.io: REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages. Authentication: Basic auth with site ID and API key for the Track API; bearer token for the App API. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
-
Customer.io: Beyond people, Customer.io supports non-person objects (for example accounts) with typed relationships to people, enabling account-based messaging logic. Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Stacksync's field mapping accounts for these differences between Customer.io and Neo4j without custom code.
-
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 Customer.io and Neo4j 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 Customer.io and Neo4j.
Popular · 8 of 386
-
Customer.io ⇄ AWS Aurora PostgreSQL -
Customer.io ⇄ MongoDB -
Customer.io ⇄ CockroachDB -
Customer.io ⇄ Google AlloyDB -
Neo4j ⇄ Google Sheets -
Neo4j ⇄ Klaviyo -
Neo4j ⇄ Lemlist -
Neo4j ⇄ Lusha
No integrations match .
