Two-way sync
Changes in IBM AS/400 or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep IBM AS/400 and Rabbitmq 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; Rabbitmq 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 Members, Rows / records, Journals and journal receivers, Data queues in IBM AS/400 with Bindings, Messages, Virtual Hosts, Consumers in Rabbitmq 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.
Directory and identity records in Rabbitmq stay matched to the users or owners table in IBM AS/400, so provisioning and de-provisioning flow from one source.
A new or changed row in IBM AS/400 creates or updates the matching record in Rabbitmq, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Rabbitmq arrive in IBM AS/400 as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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.
| IBM AS/400 objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Libraries The schema-equivalent containers that scope which files a sync reads. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Libraries is specific to IBM AS/400 and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Physical files (tables) The Db2 for i tables mapped directly to sync targets. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Physical files (tables) is specific to IBM AS/400 and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Logical files (views) Indexed or filtered views over physical files, usable as read sources. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Logical files (views) is specific to IBM AS/400 and Connections and Channels to Rabbitmq — each maps to any object or custom field on the other side. | |
| Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | Users and Permissions Auth principals and per-vhost configure/write/read access rules; managed over the HTTP API, usually read-only in a data sync. | Members is specific to IBM AS/400 and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. | |
| Rows / records The unit of read and write, accessed via SQL or record-level access. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Rows / records is specific to IBM AS/400 and Nodes to Rabbitmq — each maps to any object or custom field on the other side. | |
| Journals and journal receivers The change log that enables log-based CDC on journaled files. | Queues Buffers that store and forward messages; Stacksync consumes from a queue as a source and can declare or write to one as a destination. | Journals and journal receivers is specific to IBM AS/400 and Queues to Rabbitmq — 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.
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 Rabbitmq through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Rabbitmq for changes on an incremental schedule, reading only records changed since the previous pass. Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real.
DeliveryEach detected change is applied to IBM AS/400 as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM AS/400–Rabbitmq connection.
Changes in IBM AS/400 or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM AS/400 or Rabbitmq data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM AS/400 or Rabbitmq record.
Track your IBM AS/400 ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM AS/400 and Rabbitmq.
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 IBM AS/400 and Rabbitmq 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 IBM AS/400 and Rabbitmq 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 IBM AS/400 and Rabbitmq: authenticate both systems, choose the objects to sync (such as IBM AS/400's Libraries and Physical files (tables)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both IBM AS/400 and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. On Rabbitmq: Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real time; there is no modified-date polling, and the Management HTTP API is stats-only and poll-based. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the IBM AS/400 side: Members, Rows / records, Journals and journal receivers, Data queues, plus custom fields where IBM AS/400 exposes them. On the Rabbitmq side: Bindings, Messages, Virtual Hosts, Consumers. 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 IBM AS/400 and Rabbitmq: Where Rabbitmq manages users or groups: keep identity aligned; Turn rows into the records your tools track; Land tool activity as queryable rows. Directory and identity records in Rabbitmq stay matched to the users or owners table in IBM AS/400, so provisioning and de-provisioning flow from one source.
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 IBM AS/400 and Rabbitmq.