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Database

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

Keep MongoDB 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect MongoDB and Neo4j

Keep MongoDB and Neo4j synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between MongoDB and Neo4j continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
  • 02 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
  • 03 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • 04 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.

Common sync patterns

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between MongoDB 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.

MongoDB objects Neo4j objects How this pairing syncs
Databases Logical groupings of collections that scope a sync connection. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Embedded documents and arrays is specific to MongoDB and Properties to Neo4j — each maps to any object or custom field on the other side.
Indexes Keep lookups by sync key fast on large collections. Labels Node type markers used to map source tables or objects onto the graph. Indexes is specific to MongoDB and Labels to Neo4j — each maps to any object or custom field on the other side.
Views Read-only aggregation-defined sources for filtered sync datasets. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Views is specific to MongoDB and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.
Change streams The oplog-backed event feed that powers real-time change capture. Users & Roles Security principals controlling what an integration credential can query or modify. Change streams is specific to MongoDB and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
GridFS files Chunked file storage whose metadata can be referenced by synced documents. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. GridFS files is specific to MongoDB and Nodes to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between MongoDB and Neo4j

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

MongoDB Neo4j Sub-second propagation

DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j MongoDB Sub-second propagation

DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.

DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.

What ships with MongoDB ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MongoDB 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 MongoDB or Neo4j record.

Observability

Monitoring

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

Trading partners

EDI

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

How the MongoDB and Neo4j connectors work

MongoDB

Integration surface
MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
Authentication
Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
Change detection
MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
Capabilities
read · write · CDC
MongoDB setup guide

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

    Choose tables

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

MongoDB and Neo4j integration FAQ

SECURITY

Security teams trust 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 551 integrations available for MongoDB and Neo4j.

Popular · 8 of 551
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