Two-way sync
Changes in Azure Cosmos DB or Azure Service Bus instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Azure Service Bus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Azure Cosmos 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 Stored procedures and triggers, Databases, Containers, Items (JSON documents) in Azure Cosmos 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.
Updates in Azure Service Bus arrive as row changes in Azure Cosmos DB, and writes to Azure Cosmos DB propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Azure Service Bus stay matched to the users or owners table in Azure Cosmos DB, so provisioning and de-provisioning flow from one source.
A new or changed row in Azure Cosmos DB creates or updates the matching record in Azure Service Bus, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
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 Cosmos DB objects | Azure Service Bus objects | How this pairing syncs | |
|---|---|---|---|
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | 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. | Containers is specific to Azure Cosmos DB and Messages to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | 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. | Items (JSON documents) is specific to Azure Cosmos DB and Rules / Filters to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | 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 keys is specific to Azure Cosmos DB and Sessions to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | 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. | Change feed entries is specific to Azure Cosmos DB and Dead-letter queue to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | 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. | Stored procedures and triggers is specific to Azure Cosmos DB and Scheduled / deferred messages to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | 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. | Databases is specific to Azure Cosmos DB and Queues to Azure Service Bus — 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.
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
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 Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Azure Service Bus connection.
Changes in Azure Cosmos DB or Azure Service Bus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Azure Service Bus data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Cosmos DB or Azure Service Bus record.
Track your Azure Cosmos DB ⇄ Azure Service Bus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Azure Service Bus.
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 Azure Cosmos DB and Azure Service Bus 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 Azure Cosmos DB and Azure Service Bus 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 Azure Cosmos DB and Azure Service Bus: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Containers and Items (JSON documents)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Azure Cosmos DB: REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces. Authentication: Account keys, resource tokens, or Microsoft Entra ID role-based access. Azure Service Bus: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Azure Cosmos DB: Items are JSON with no enforced schema, so field mapping must handle heterogeneous documents within one container. Azure Service Bus: A topic supports up to 2,000 subscriptions; Standard tier throttles around 1,000 operations per second with ServerBusy errors, while Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for predictable throughput. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Azure Service Bus without custom code.
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 Cosmos DB and Azure Service Bus records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Cosmos DB and Azure Service Bus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–Azure Service Bus integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Azure Service Bus. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 317 integrations available for Azure Cosmos DB and Azure Service Bus.