Real-time
Two-way sync
Changes in Azure Service Bus or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to Dynamo DB integration — real-time, two-way sync
Keep Azure Service Bus and Dynamo DB 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
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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 Dynamo DB
Keep Dynamo DB and Azure Service Bus in step: the rows in your database and the Sessions, Dead-letter queue, Scheduled / deferred messages, Queues your engineering tools track stay consistent in real time, in both directions.
Dynamo DB is where your application's durable data lives; Azure Service Bus 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 Tables, Items, Attributes, Partition and Sort Keys in Dynamo DB 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 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 Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
- 02 Consolidate multi-region Global Tables data into a single reporting store.
- 03 Receive messages from a queue or subscription with an AMQP receiver and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
- 04 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.
Common sync patterns
Land tool activity as queryable rows
Records and events from Azure Service Bus arrive in Dynamo DB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
One integration pattern instead of per-tool API code
Read and write the synced tables in Dynamo DB and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Azure Service Bus arrive as row changes in Dynamo DB, and writes to Dynamo DB propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
What you can sync between Azure Service Bus and Dynamo DB
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 | Dynamo DB 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. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Messages is specific to Azure Service Bus and Items to Dynamo DB — 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. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Rules / Filters is specific to Azure Service Bus and Attributes to Dynamo DB — 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. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Sessions is specific to Azure Service Bus and Partition and Sort Keys to Dynamo DB — 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. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Dead-letter queue is specific to Azure Service Bus and Global Secondary Indexes to Dynamo DB — 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. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Scheduled / deferred messages is specific to Azure Service Bus and DynamoDB Streams to Dynamo DB — 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. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Queues is specific to Azure Service Bus and Global Tables to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Dynamo DB
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 Dynamo DB 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 Dynamo DB as a row-level write, with types converted between the two schemas.
Dynamo DB Azure Service Bus Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
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.
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
What ships with Azure Service Bus ⇄ Dynamo DB
Connect Azure Service Bus and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Dynamo DB 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 Dynamo DB record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Dynamo DB 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 Dynamo DB.
How the Azure Service Bus and Dynamo DB 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
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
How it works
How to connect Azure Service Bus to Dynamo DB — 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 Dynamo DB 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
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Dynamo DB 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 ⇄ Dynamo DBCustomers 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 Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Dynamo DB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Dynamo DB: 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 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 Dynamo DB 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 Dynamo DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–Dynamo DB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Dynamo DB. 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 Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. 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 Dynamo DB side: Tables, Items, Attributes, Partition and Sort Keys, plus custom fields where Dynamo DB exposes them. On the Azure Service Bus side: Sessions, Dead-letter queue, Scheduled / deferred messages, Queues. Stacksync auto-detects both schemas and converts types between the two systems.
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 329 integrations available for Azure Service Bus and Dynamo DB.
Popular · 8 of 329
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Azure Service Bus ⇄ Oracle DB -
Azure Service Bus ⇄ RavenDB -
Azure Service Bus ⇄ Redis Enterprise -
Azure Service Bus ⇄ SAP ASE (Sybase) -
Dynamo DB ⇄ Jms -
Dynamo DB ⇄ Newrelic -
Dynamo DB ⇄ Opsgenie -
Dynamo DB ⇄ PagerDuty
No integrations match .
