Two-way sync
Changes in Azure Service Bus or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and IBM Db2 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
IBM Db2 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 Views, Indexes, Stored Procedures, Sequences in IBM Db2 with Topics, Subscriptions, Messages, Rules / Filters 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.
Read and write the synced tables in IBM Db2 and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Azure Service Bus arrive as row changes in IBM Db2, and writes to IBM Db2 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 IBM Db2, so provisioning and de-provisioning flow from one source.
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 | IBM Db2 objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tables Primary read/write target for syncing rows with SaaS systems or other databases. | Rules / Filters is specific to Azure Service Bus and Tables to IBM Db2 — 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. | Views Read-only projections often used to expose curated slices to a sync. | Sessions is specific to Azure Service Bus and Views to IBM Db2 — 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. | Indexes Support fast key lookups on sync match columns. | Dead-letter queue is specific to Azure Service Bus and Indexes to IBM Db2 — 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. | Stored Procedures Existing business logic sometimes invoked as part of write paths. | Scheduled / deferred messages is specific to Azure Service Bus and Stored Procedures to IBM Db2 — 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. | Sequences ID generation relevant when external systems insert rows. | Queues is specific to Azure Service Bus and Sequences to IBM Db2 — 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. | Tablespaces Physical storage layout that operators consider when adding synced tables. | Topics is specific to Azure Service Bus and Tablespaces to IBM Db2 — 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 IBM Db2 as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
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–IBM Db2 connection.
Changes in Azure Service Bus or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or IBM Db2 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 IBM Db2 record.
Track your Azure Service Bus ⇄ IBM Db2 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and IBM Db2.
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 IBM Db2 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 IBM Db2 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 IBM Db2: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Rules / Filters and Sessions), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Db2: Db2 LUW supports both row-organized and column-organized tables, letting the same database serve transactional and analytical access. 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 Service Bus and IBM Db2 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 IBM Db2 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 IBM Db2 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–IBM Db2 integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and IBM Db2. 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 IBM Db2: Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns. 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 331 integrations available for Azure Service Bus and IBM Db2.