Real-time
Two-way sync
Changes in Azure Service Bus or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Data warehouse
Azure Service Bus to MotherDuck integration — real-time, two-way sync
Keep Azure Service Bus and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Service Bus and MotherDuck
Close the gap between analytics and operations: MotherDuck holds the record while Azure Service Bus runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.
MotherDuck is the central store where teams keep Tables, Views, Database Shares, Attached Local DuckDB Databases for reporting and analysis; Azure Service Bus runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages produced in Azure Service Bus are exactly what analysts want to measure in MotherDuck, and the curated rows in MotherDuck are what should drive the next action in Azure Service Bus. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Tables, Views, Database Shares, Attached Local DuckDB Databases in MotherDuck 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 matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Common use cases
- 01 Sync modeled MotherDuck tables outward to operational tools for activation
- 02 Share curated, synced datasets with other teams through read-only database shares
- 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
One shared record, kept consistent
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Keep user and access records aligned
Where Azure Service Bus manages users, directory, or access data, those records stay current in MotherDuck — and can be provisioned back from it — so ownership and permissions match across both.
Operational data lands in MotherDuck for analytics
Records created in Azure Service Bus — issues, events, messages, metrics, or user changes — replicate into MotherDuck tables as they happen, so reporting runs on current data instead of last night's export.
What you can sync between Azure Service Bus and MotherDuck
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 | MotherDuck 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. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Messages is specific to Azure Service Bus and Attached Local DuckDB Databases to MotherDuck — 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. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Rules / Filters is specific to Azure Service Bus and Databases to MotherDuck — 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. | Schemas Namespaces within a database used to organize synced tables. | Sessions is specific to Azure Service Bus and Schemas to MotherDuck — 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. | Tables The main landing target for synced records and source for analysis. | Dead-letter queue is specific to Azure Service Bus and Tables to MotherDuck — 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. | Views Modeled projections used as outbound sync sources. | Scheduled / deferred messages is specific to Azure Service Bus and Views to MotherDuck — 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. | Database Shares Read-only copies of a database shared with other users or teams. | Queues is specific to Azure Service Bus and Database Shares to MotherDuck — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and MotherDuck
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 MotherDuck 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 applied to MotherDuck as a row-level write, with types converted between the two schemas.
MotherDuck Azure Service Bus Interval-based propagation
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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.
- MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Azure Service Bus ⇄ MotherDuck
Connect Azure Service Bus and MotherDuck for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–MotherDuck connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or MotherDuck 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 MotherDuck record.
Observability
Monitoring
Track your Azure Service Bus ⇄ MotherDuck 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 MotherDuck.
How the Azure Service Bus and MotherDuck 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
MotherDuck
- Integration surface
- SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
- Authentication
- Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
- Change detection
- Polling; no log-based CDC or webhook surface is exposed
- Capabilities
- read · write
- Rate limits
- Subject to the platform's compute and concurrency limits rather than per-request API rate limits
How it works
How to connect Azure Service Bus to MotherDuck — 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 MotherDuck 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
MotherDuck
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and MotherDuck 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 ⇄ MotherDuckCustomers 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 MotherDuckCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and MotherDuck integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and MotherDuck: 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Service Bus and MotherDuck connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–MotherDuck integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and MotherDuck. 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 MotherDuck: Polling; no log-based CDC or webhook surface is exposed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the MotherDuck side: Tables, Views, Database Shares, Attached Local DuckDB Databases, plus custom fields where MotherDuck 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.
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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.
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 328 integrations available for Azure Service Bus and MotherDuck.
Popular · 7 of 328
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Azure Service Bus ⇄ Apache Pinot -
Azure Service Bus ⇄ Azure Synapse Analytics -
Azure Service Bus ⇄ ClickHouse -
MotherDuck ⇄ Newrelic -
MotherDuck ⇄ Opsgenie -
MotherDuck ⇄ PagerDuty -
MotherDuck ⇄ Jira
No integrations match .
