Two-way sync
Changes in Azure Service Bus or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and Azure Synapse Analytics 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 Synapse Analytics is the central store where teams keep Views, Schemas, Materialized views, SQL pools 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 Messages, Rules / Filters, Sessions, Dead-letter queue produced in Azure Service Bus are exactly what analysts want to measure in Azure Synapse Analytics, and the curated rows in Azure Synapse Analytics 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 Views, Schemas, Materialized views, SQL pools in Azure Synapse Analytics with Messages, Rules / Filters, Sessions, Dead-letter queue 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.
A row scored, flagged, or enriched in Azure Synapse Analytics creates or updates the matching record in Azure Service Bus, so the operational tool acts on the same data the analysts already see.
Load the existing set of Messages, Rules / Filters, Sessions, Dead-letter queue into Azure Synapse Analytics once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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 | Azure Synapse Analytics objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Queues is specific to Azure Service Bus and Tables (dedicated SQL pool) to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Topics Publish/subscribe entity a publisher sends to; each message is fanned out to every subscription whose filter rules match, so many consumers get their own copy. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Topics is specific to Azure Service Bus and External tables to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. | Views Curated projections used when downstream tools should not read base tables directly. | Subscriptions is specific to Azure Service Bus and Views to Azure Synapse Analytics — each maps to any object or custom field on the other side. | |
| 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. | Schemas Namespaces that separate staging, integration, and presentation layers. | Messages is specific to Azure Service Bus and Schemas to Azure Synapse Analytics — 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. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Rules / Filters is specific to Azure Service Bus and Materialized views to Azure Synapse Analytics — 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. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Sessions is specific to Azure Service Bus and SQL pools to Azure Synapse Analytics — 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.
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 Synapse Analytics as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Azure Synapse Analytics connection.
Changes in Azure Service Bus or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or Azure Synapse Analytics 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 Service Bus or Azure Synapse Analytics record.
Track your Azure Service Bus ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Azure Synapse Analytics.
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 Service Bus and Azure Synapse Analytics 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 Service Bus and Azure Synapse Analytics 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 Service Bus and Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Queues and Topics), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Service Bus and Azure Synapse Analytics connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–Azure Synapse Analytics integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Azure Synapse Analytics. 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 Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Synapse Analytics side: Views, Schemas, Materialized views, SQL pools, plus custom fields where Azure Synapse Analytics exposes them. On the Azure Service Bus side: Messages, Rules / Filters, Sessions, Dead-letter queue. 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.
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 420 integrations available for Azure Service Bus and Azure Synapse Analytics.