Real-time
Two-way sync
Changes in Azure Service Bus or Klaviyo instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Business productivity
Azure Service Bus to Klaviyo integration — real-time, two-way sync
Keep Azure Service Bus and Klaviyo 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 Azure Service Bus and Klaviyo
Connect the tickets, records, and events in Klaviyo to the systems engineering runs in Azure Service Bus, kept current in real time and in both directions.
Klaviyo 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 Tags, Profiles, Lists, Segments in Klaviyo with Sessions, Dead-letter queue, Scheduled / deferred messages, Queues 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 Sync catalog items from an ERP or PIM so product recommendations and back-in-stock flows use current data
- 02 Sync customer profiles between Klaviyo and the CRM or warehouse so segments can use fields beyond storefront data
- 03 Fan out CRM or ERP record changes to a topic and let billing, analytics, and notification subscriptions each filter with SQL rules and react without coupling to the source.
- 04 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.
Common sync patterns
Where Azure Service Bus moves messages between services: activity lands on the stream
Records created or changed in Klaviyo publish to the queue or topic in Azure Service Bus as they happen, so downstream services react to real events rather than polling for them.
Where Azure Service Bus is the directory or identity source: one set of users
People and accounts in Klaviyo 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 Klaviyo replicate into Azure Service Bus, so the operational view reflects what is actually happening in the business.
What you can sync between Azure Service Bus and Klaviyo
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 | Klaviyo 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. | Lists Static audience memberships sync in from CRMs and forms for targeting. | Messages is specific to Azure Service Bus and Lists to Klaviyo — 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. | Segments Dynamic audiences are readable so other tools can mirror who qualifies. | Rules / Filters is specific to Azure Service Bus and Segments to Klaviyo — 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. | Events Timestamped behavioral records tied to metrics; external order and product events are pushed in to trigger flows. | Sessions is specific to Azure Service Bus and Events to Klaviyo — 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. | Metrics Event type definitions organize the activity stream used in segmentation and attribution. | Dead-letter queue is specific to Azure Service Bus and Metrics to Klaviyo — 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. | Campaigns Email and SMS sends expose performance data for warehouse-based reporting. | Scheduled / deferred messages is specific to Azure Service Bus and Campaigns to Klaviyo — 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. | Flows Automation definitions and their engagement data sync outward for attribution. | Queues is specific to Azure Service Bus and Flows to Klaviyo — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Klaviyo
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 Klaviyo 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 Klaviyo through its API, with automatic retries and rate-limit backoff.
Klaviyo Azure Service Bus Sub-second propagation
DetectionKlaviyo notifies Stacksync of record changes through webhook events. Polling on updated timestamps.
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.
- Klaviyo: Per-endpoint burst and steady rate limits apply.
What ships with Azure Service Bus ⇄ Klaviyo
Connect Azure Service Bus and Klaviyo for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Klaviyo connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Klaviyo 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 Klaviyo record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Klaviyo 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 Klaviyo.
How the Azure Service Bus and Klaviyo 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
Klaviyo
- Integration surface
- REST API compliant with the JSON:API specification
- Authentication
- OAuth 2.0 for apps or private API keys
- Change detection
- Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions
- Capabilities
- read · write · webhooks
- Rate limits
- Per-endpoint burst and steady rate limits apply
How it works
How to connect Azure Service Bus to Klaviyo — 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 Klaviyo 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
Klaviyo
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Klaviyo 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 ⇄ KlaviyoCustomers 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 KlaviyoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Klaviyo integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Klaviyo: 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.
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Klaviyo: API versioning is handled with a date-based revision header, letting integrations pin behavior to a specific release. Azure Service Bus: Message size differs by tier: Standard caps messages at 256 KB, while Premium defaults to 1 MB and supports up to 100 MB per message over AMQP; message batches are capped at 1 MB on all tiers. Stacksync's field mapping accounts for these differences between Azure Service Bus and Klaviyo 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 Azure Service Bus and Klaviyo records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Service Bus and Klaviyo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–Klaviyo integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Klaviyo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Klaviyo: Polling on updated timestamps; outbound webhooks exist for event topics (availability depends on plan or app-partner status) and as flow webhook actions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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Klaviyo ⇄ Newrelic -
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