Real-time
Two-way sync
Changes in MongoDB or Neo4j instantly reflect in both systems. No stale data, no manual imports.
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.
- 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 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
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
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 | |
|---|---|---|
| Indexes Keep lookups by sync key fast on large collections. | Relationships Typed, directed edges that carry the connections syncs exist to model. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Labels Node type markers used to map source tables or objects onto the graph. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| 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. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Users & Roles Security principals controlling what an integration credential can query or modify. |
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.
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
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.
- 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.
MongoDB
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · MongoDB ⇄ 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.
MongoDB Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and Neo4j: authenticate both systems, choose the objects to sync (such as MongoDB's Indexes and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the MongoDB side: Databases, Collections, Documents, Embedded documents and arrays, plus custom fields where MongoDB exposes them. On the Neo4j side: Indexes & Constraints, Databases, Users & Roles, Nodes. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for MongoDB and Neo4j: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
-
MongoDB: 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. 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.
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MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. Stacksync's field mapping accounts for these differences between MongoDB and Neo4j without custom code.
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 MongoDB and Neo4j.
Popular · 8 of 386
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MongoDB ⇄ InterSystems IRIS -
MongoDB ⇄ MarkLogic -
MongoDB ⇄ OCI Database (Oracle Cloud) -
MongoDB ⇄ OpenSearch -
Neo4j ⇄ InfluxDB - Neo4j ⇄ InterSystems IRIS
- Neo4j ⇄ MarkLogic
- Neo4j ⇄ OCI Database (Oracle Cloud)
No integrations match .
