Two-way sync
Changes in Azure Service Bus or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and Starburst Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Starburst Enterprise is the central store where teams keep Tables, Views, Materialized views, Columns 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 Starburst Enterprise, and the curated rows in Starburst Enterprise 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, Materialized views, Columns in Starburst Enterprise 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.
Load the existing set of Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages into Starburst Enterprise 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.
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.
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 | Starburst Enterprise 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. | Views Engine-level SQL views used to shape federated data before syncing it out. | Messages is specific to Azure Service Bus and Views to Starburst Enterprise — 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 results that make repeated sync reads cheaper. | Rules / Filters is specific to Azure Service Bus and Materialized views to Starburst Enterprise — 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. | Columns Typed per the Trino type system, mapped from each source's native types. | Sessions is specific to Azure Service Bus and Columns to Starburst Enterprise — 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. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | Dead-letter queue is specific to Azure Service Bus and Catalogs to Starburst Enterprise — 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. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | Scheduled / deferred messages is specific to Azure Service Bus and Schemas to Starburst Enterprise — 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. | Tables Queryable relations; writes pass through to sources whose connectors support them. | Queues is specific to Azure Service Bus and Tables to Starburst Enterprise — 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 Starburst Enterprise as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Starburst Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
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–Starburst Enterprise connection.
Changes in Azure Service Bus or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or Starburst Enterprise 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 Starburst Enterprise record.
Track your Azure Service Bus ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Starburst Enterprise.
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 Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise: 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.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Starburst Enterprise. 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 Starburst Enterprise: Query-based polling; Starburst is a query engine and exposes no change log of its own. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Starburst Enterprise side: Tables, Views, Materialized views, Columns, plus custom fields where Starburst Enterprise 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.
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.
Common patterns for Azure Service Bus and Starburst Enterprise: Backfill history, then stay live; No batch jobs to babysit; One shared record, kept consistent. Load the existing set of Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages into Starburst Enterprise once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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 315 integrations available for Azure Service Bus and Starburst Enterprise.