Real-time
Two-way sync
Changes in Neo4j or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Developer tools
Neo4j to Rabbitmq integration — real-time, two-way sync
Keep Neo4j and Rabbitmq 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 MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Neo4j and Rabbitmq
Keep Neo4j and Rabbitmq in step: the rows in your database and the Exchanges, Bindings, Messages, Virtual Hosts your engineering tools track stay consistent in real time, in both directions.
Neo4j is where your application's durable data lives; Rabbitmq is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Indexes & Constraints, Databases, Users & Roles, Nodes in Neo4j with Exchanges, Bindings, Messages, Virtual Hosts in Rabbitmq field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Sync product catalog and order history into Neo4j to power recommendation queries.
- 02 Feed identity and access data into a graph for entitlement and blast-radius analysis.
- 03 Fan a single event out to multiple systems by binding several Queues to a fanout Exchange, each feeding a different Stacksync sync.
- 04 Route Messages by routing key through a topic Exchange so only Bindings matching a pattern (e.g. region or entity type) trigger a sync.
Common sync patterns
React to changes on either side in near real time
Updates in Rabbitmq arrive as row changes in Neo4j, and writes to Neo4j propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
Where Rabbitmq manages users or groups: keep identity aligned
Directory and identity records in Rabbitmq stay matched to the users or owners table in Neo4j, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in Neo4j creates or updates the matching record in Rabbitmq, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Neo4j and Rabbitmq
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.
| Neo4j objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Databases is specific to Neo4j and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Users & Roles is specific to Neo4j and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Relationships is specific to Neo4j and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Properties is specific to Neo4j and Connections and Channels to Rabbitmq — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Users and Permissions Auth principals and per-vhost configure/write/read access rules; managed over the HTTP API, usually read-only in a data sync. | Labels is specific to Neo4j and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Rabbitmq
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.
Neo4j Rabbitmq 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 written to Rabbitmq through its API, with automatic retries and rate-limit backoff.
Rabbitmq Neo4j Interval-based propagation
DetectionStacksync polls Rabbitmq for changes on an incremental schedule, reading only records changed since the previous pass. Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Rabbitmq: No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
What ships with Neo4j ⇄ Rabbitmq
Connect Neo4j and Rabbitmq for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Rabbitmq connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Rabbitmq 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 Neo4j or Rabbitmq record.
Observability
Monitoring
Track your Neo4j ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Neo4j and Rabbitmq.
How the Neo4j and Rabbitmq connectors work
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
Rabbitmq
- Integration surface
- AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672
- Authentication
- AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled
- Change detection
- Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real time; there is no modified-date polling, and the Management HTTP API is stats-only and poll-based
- Capabilities
- read · write
- Rate limits
- No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
How it works
How to connect Neo4j to Rabbitmq — 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 Neo4j and Rabbitmq with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Rabbitmq
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Rabbitmq 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 · Neo4j ⇄ RabbitmqCustomers 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.
Neo4j RabbitmqCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Rabbitmq integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Rabbitmq: authenticate both systems, choose the objects to sync (such as Neo4j's Nodes and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Neo4j and Rabbitmq: React to changes on either side in near real time; Where Rabbitmq manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Rabbitmq arrive as row changes in Neo4j, and writes to Neo4j propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
-
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Rabbitmq: AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672. Authentication: AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled. Stacksync manages authentication, retries, and rate limits on both sides.
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Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Rabbitmq: Message ordering is only guaranteed within a single queue with a single consumer; multiple consumers or requeues can reorder delivery. Stacksync's field mapping accounts for these differences between Neo4j and Rabbitmq without custom code.
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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 Neo4j and Rabbitmq records are not retained after a sync operation.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 396 integrations available for Neo4j and Rabbitmq.
Popular · 8 of 396
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Neo4j ⇄ Datadog -
Neo4j ⇄ Google Pubsub -
Neo4j ⇄ Ldap -
Neo4j ⇄ Microsoft Graph -
Rabbitmq ⇄ Citus -
Rabbitmq ⇄ Couchbase -
Rabbitmq ⇄ DuckDB -
Rabbitmq ⇄ Elasticsearch
No integrations match .
