Two-way sync
Changes in Azure Service Bus or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and IBM AS/400 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 AS/400 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 Rows / records, Journals and journal receivers, Data queues, Libraries in IBM AS/400 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 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 AS/400 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 AS/400, and writes to IBM AS/400 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 AS/400, 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 AS/400 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. | Journals and journal receivers The change log that enables log-based CDC on journaled files. | Queues is specific to Azure Service Bus and Journals and journal receivers to IBM AS/400 — 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. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | Topics is specific to Azure Service Bus and Data queues to IBM AS/400 — 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. | Libraries The schema-equivalent containers that scope which files a sync reads. | Subscriptions is specific to Azure Service Bus and Libraries to IBM AS/400 — 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. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Messages is specific to Azure Service Bus and Physical files (tables) to IBM AS/400 — 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. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Rules / Filters is specific to Azure Service Bus and Logical files (views) to IBM AS/400 — 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. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | Sessions is specific to Azure Service Bus and Members to IBM AS/400 — 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 AS/400 as a row-level write, with types converted between the two schemas.
DetectionChanges in IBM AS/400 are captured at the source via change data capture — no polling loop against its API. Journal-based CDC by reading journal receivers on journaled files.
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 AS/400 connection.
Changes in Azure Service Bus or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or IBM AS/400 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 AS/400 record.
Track your Azure Service Bus ⇄ IBM AS/400 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 AS/400.
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 AS/400 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 AS/400 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 AS/400: 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.
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. IBM AS/400: SQL over JDBC/ODBC to Db2 for i (for example the JTOpen/jt400 driver), alongside native record-level access. Authentication: IBM i user profile credentials (database credentials). Stacksync manages authentication, retries, and rate limits on both sides.
IBM AS/400: Standard access is SQL over JDBC/ODBC (commonly the open-source JTOpen driver), coexisting with legacy record-level access. 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 IBM AS/400 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 AS/400 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 AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and IBM AS/400. 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 312 integrations available for Azure Service Bus and IBM AS/400.