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Business productivity ⇄ Database

Braze to Neo4j integration — real-time, two-way sync

Keep Braze 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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Migrated from Celigo
Why teams connect Braze and Neo4j

Mirror Braze'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 Braze 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 Purchases, Segments, Campaigns, Canvases from Braze into Users & Roles, Nodes, Relationships, Properties 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 Braze, so the tool and the database never disagree.

Common use cases

  • Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
  • Export campaign and Canvas engagement data into a warehouse for cross-channel reporting.
  • 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 Braze with a query

Records from Braze are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.

Automate Braze from your codebase

Write to the synced tables in Neo4j and Stacksync propagates the change into Braze, replacing custom integration code.

React to changes as they happen

Updates in Braze arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.

What you can sync between Braze 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.

Braze objects Neo4j objects
Purchases Transaction records logged against profiles for revenue-based targeting. Users & Roles Security principals controlling what an integration credential can query or modify.
Segments Audience definitions read for membership export and campaign targeting. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Campaigns Message sends whose metadata and analytics are read for reporting. Relationships Typed, directed edges that carry the connections syncs exist to model.
Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Subscription Groups Channel-level opt-in states synced with consent records in other systems. Labels Node type markers used to map source tables or objects onto the graph.
Content Blocks Reusable message content referenced across campaigns. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
What ships with Braze ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Braze 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 Braze or Neo4j record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Braze and Neo4j connectors work

Braze

Integration surface
REST API
Authentication
REST API keys scoped to specific endpoints, issued per workspace
Change detection
Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
Capabilities
read · write
Rate limits
Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request

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

    Choose tables

    Pick the Braze 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 · Braze ⇄ 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
    Braze Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Braze 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.

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 Braze and Neo4j.

Popular · 8 of 386
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