Two-way sync
Changes in Azure Service Bus or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tinybird is the central store where teams keep Pipes, API Endpoints, Materialized Views, Workspaces 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 Dead-letter queue, Scheduled / deferred messages, Queues, Topics produced in Azure Service Bus are exactly what analysts want to measure in Tinybird, and the curated rows in Tinybird 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 Pipes, API Endpoints, Materialized Views, Workspaces in Tinybird with Dead-letter queue, Scheduled / deferred messages, Queues, Topics 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 Tinybird 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 Dead-letter queue, Scheduled / deferred messages, Queues, Topics into Tinybird 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 | Tinybird 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. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Messages is specific to Azure Service Bus and Pipes to Tinybird — 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. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Rules / Filters is specific to Azure Service Bus and API Endpoints to Tinybird — 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. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Sessions is specific to Azure Service Bus and Materialized Views to Tinybird — 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. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Dead-letter queue is specific to Azure Service Bus and Workspaces to Tinybird — 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. | Tokens Scoped credentials that control read and append rights per resource. | Scheduled / deferred messages is specific to Azure Service Bus and Tokens to Tinybird — 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. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Queues is specific to Azure Service Bus and Data Sources to Tinybird — 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 Tinybird as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
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–Tinybird connection.
Changes in Azure Service Bus or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or Tinybird 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 Tinybird record.
Track your Azure Service Bus ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Tinybird.
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 Tinybird 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 Tinybird 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 Tinybird: 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.
Tinybird: Tinybird is built on ClickHouse; Pipes are chained SQL nodes that can be published directly as parameterized HTTP endpoints. Azure Service Bus: FIFO ordering is not the default - it requires message sessions, which bind related messages by SessionId to a single consumer; without sessions, competing consumers process a queue in parallel with no global order. Stacksync's field mapping accounts for these differences between Azure Service Bus and Tinybird 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 Service Bus and Tinybird records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Service Bus and Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–Tinybird integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Tinybird. 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 Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 310 integrations available for Azure Service Bus and Tinybird.