Two-way sync
Changes in IBM Db2 or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 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 Db2 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 Schemas, Tables, Views, Indexes in IBM Db2 with Virtual Hosts, Consumers, Connections and Channels, Users and Permissions 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.
A new or changed row in IBM Db2 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 Db2 as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in IBM Db2 and Stacksync keeps Rabbitmq current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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 Db2 objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces separating synced data from application and system objects. | 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. | Schemas is specific to IBM Db2 and Queues to Rabbitmq — each maps to any object or custom field on the other side. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. | Tables is specific to IBM Db2 and Exchanges to Rabbitmq — each maps to any object or custom field on the other side. | |
| Views Read-only projections often used to expose curated slices to a sync. | Bindings Rules linking an exchange to a queue by routing key or pattern; they determine which messages reach which queue and can be declared during setup. | Views is specific to IBM Db2 and Bindings to Rabbitmq — each maps to any object or custom field on the other side. | |
| Indexes Support fast key lookups on sync match columns. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Indexes is specific to IBM Db2 and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Stored Procedures Existing business logic sometimes invoked as part of write paths. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Stored Procedures is specific to IBM Db2 and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Sequences ID generation relevant when external systems insert rows. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Sequences is specific to IBM Db2 and Consumers 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 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 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 Db2 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 Db2–Rabbitmq connection.
Changes in IBM Db2 or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 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 Db2 or Rabbitmq record.
Track your IBM Db2 ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 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 Db2 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 Db2 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 Db2 and Rabbitmq: authenticate both systems, choose the objects to sync (such as IBM Db2's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Db2 and Rabbitmq: Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. A new or changed row in IBM Db2 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.
IBM Db2: SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions. Authentication: Database credentials, typically backed by OS or LDAP authentication. Rabbitmq: AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672. Authentication: AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled. Stacksync manages authentication, retries, and rate limits on both sides.
IBM Db2: Db2 ships in distinct variants (LUW, z/OS, IBM i) whose SQL dialects and catalog views differ, so integrations must target the right edition. Rabbitmq: There is no fixed request quota, but publishers can be blocked by memory or disk alarms and back-pressure (flow control) under load. Stacksync's field mapping accounts for these differences between IBM Db2 and Rabbitmq 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 IBM Db2 and Rabbitmq records are not retained after a sync operation.
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 IBM Db2 and Rabbitmq.