Two-way sync
Changes in Braze or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep Braze 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.
Braze is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Rabbitmq is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Users, Custom Attributes, Custom Events, Purchases in Braze with Queues, Exchanges, Bindings, Messages in Rabbitmq field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Open items, throughput, and error counts from Braze replicate into Rabbitmq, so the operational view reflects what is actually happening in the business.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
A ticket or request raised in Braze opens or updates a matching issue in Rabbitmq, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
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 | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Canvases is specific to Braze and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Subscription Groups is specific to Braze and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Content Blocks Reusable message content referenced across campaigns. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Content Blocks is specific to Braze and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Users is specific to Braze and Connections and Channels to Rabbitmq — each maps to any object or custom field on the other side. | |
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | 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. | Custom Attributes is specific to Braze and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. | |
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Custom Events is specific to Braze and Nodes to Rabbitmq — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is written to Rabbitmq through its API, with automatic retries and rate-limit backoff.
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 Braze through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Rabbitmq connection.
Changes in Braze or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Braze or Rabbitmq data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Braze or Rabbitmq record.
Track your Braze ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Braze and Rabbitmq.
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.
Authenticate Braze 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.
Pick the Braze 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Braze and Rabbitmq: authenticate both systems, choose the objects to sync (such as Braze's Canvases and Subscription Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Braze side: Users, Custom Attributes, Custom Events, Purchases, plus custom fields where Braze exposes them. On the Rabbitmq side: Queues, Exchanges, Bindings, Messages. Stacksync auto-detects both schemas and converts types between the two systems.
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 Braze and Rabbitmq: Where Rabbitmq watches operations: live volumes for visibility; One shared record across both systems; Where Rabbitmq tracks engineering work: requests become issues. Open items, throughput, and error counts from Braze replicate into Rabbitmq, so the operational view reflects what is actually happening in the business.
Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. 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.
Braze: The users/track endpoint accepts attributes, custom events, and purchases for many users in a single batched request, which is the standard write path for syncs. Rabbitmq: Classic, quorum, and stream queue types differ in durability and replay: classic and quorum queues remove a message on acknowledgment, while only streams retain messages after consumption for reprocessing. Stacksync's field mapping accounts for these differences between Braze and Rabbitmq without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 378 integrations available for Braze and Rabbitmq.