Real-time
Two-way sync
Changes in Azure Service Bus or Braze instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Business productivity
Azure Service Bus to Braze integration — real-time, two-way sync
Keep Azure Service Bus and Braze 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 Azure Service Bus and Braze
Connect the tickets, records, and events in Braze to the systems engineering runs in Azure Service Bus, kept current in real time and in both directions.
Braze is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Azure Service Bus 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 Custom Events, Purchases, Segments, Campaigns in Braze with Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages in Azure Service Bus 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.
Common use cases
- 01 Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- 02 Export campaign and Canvas engagement data into a warehouse for cross-channel reporting.
- 03 Bridge order or workflow events off a subscription into an ERP or ticketing system as they arrive, mapping message properties and the payload to target fields.
- 04 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
Common sync patterns
Where Azure Service Bus is the directory or identity source: one set of users
People and accounts in Braze stay matched to the users in Azure Service Bus, so access, provisioning, and org changes propagate instead of being keyed in twice.
Where Azure Service Bus watches operations: live volumes for visibility
Open items, throughput, and error counts from Braze replicate into Azure Service Bus, so the operational view reflects what is actually happening in the business.
One shared record across both systems
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.
What you can sync between Azure Service Bus and Braze
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.
| Azure Service Bus objects | Braze objects | How this pairing syncs | |
|---|---|---|---|
| Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. | Segments Audience definitions read for membership export and campaign targeting. | Messages is specific to Azure Service Bus and Segments to Braze — each maps to any object or custom field on the other side. | |
| Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. | Campaigns Message sends whose metadata and analytics are read for reporting. | Rules / Filters is specific to Azure Service Bus and Campaigns to Braze — each maps to any object or custom field on the other side. | |
| Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. | Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Sessions is specific to Azure Service Bus and Canvases to Braze — each maps to any object or custom field on the other side. | |
| Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. | Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Dead-letter queue is specific to Azure Service Bus and Subscription Groups to Braze — each maps to any object or custom field on the other side. | |
| Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. | Content Blocks Reusable message content referenced across campaigns. | Scheduled / deferred messages is specific to Azure Service Bus and Content Blocks to Braze — each maps to any object or custom field on the other side. | |
| Queues Point-to-point entity: a sender writes messages and one competing consumer at a time receives them under PeekLock, then completes or abandons each message. | Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Queues is specific to Azure Service Bus and Users to Braze — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Braze
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.
Azure Service Bus Braze Interval-based propagation
DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.
DeliveryEach detected change is written to Braze through its API, with automatic retries and rate-limit backoff.
Braze Azure Service Bus Interval-based propagation
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 Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Azure Service Bus: Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity.
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
What ships with Azure Service Bus ⇄ Braze
Connect Azure Service Bus and Braze for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Braze connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Braze 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 Azure Service Bus or Braze record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Braze sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Braze.
How the Azure Service Bus and Braze connectors work
Azure Service Bus
- Integration surface
- AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported)
- Authentication
- Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims
- Change detection
- Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers
- Capabilities
- read · write
- Rate limits
- Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity
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
How it works
How to connect Azure Service Bus to Braze — 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 Azure Service Bus and Braze with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure Service Bus
connected
Braze
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Braze 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 · Azure Service Bus ⇄ BrazeCustomers 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.
Azure Service Bus BrazeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Braze integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Braze: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Messages and Rules / Filters), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Braze. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Azure Service Bus: Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers. On Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Braze side: Custom Events, Purchases, Segments, Campaigns, plus custom fields where Braze exposes them. On the Azure Service Bus side: Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred 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 Azure Service Bus and Braze: Where Azure Service Bus is the directory or identity source: one set of users; Where Azure Service Bus watches operations: live volumes for visibility; One shared record across both systems. People and accounts in Braze stay matched to the users in Azure Service Bus, so access, provisioning, and org changes propagate instead of being keyed in twice.
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 378 integrations available for Azure Service Bus and Braze.
Popular · 8 of 378
-
Azure Service Bus ⇄ Monday -
Azure Service Bus ⇄ Notion -
Azure Service Bus ⇄ Quip -
Azure Service Bus ⇄ Smartsheet -
Braze ⇄ Opsgenie -
Braze ⇄ PagerDuty -
Braze ⇄ Jira -
Braze ⇄ Rabbitmq
No integrations match .
